Find, fix and prevent vulnerabilities in your code.

Overview

org.bouncycastle:bcprov-jdk15to18 is a Java implementation of cryptographic algorithms.

Affected versions of this package are vulnerable to LDAP Injection via the parseDN handling and the LDAP store helpers in X509LDAPCertStoreSpi and LDAPStoreHelper. An attacker can influence LDAP search filters by supplying a crafted X.500 subject or issuer string that is parsed into an unescaped filter value. This lets the attacker alter the directory query used to locate certificates and CRLs, causing the application to retrieve incorrect LDAP entries or fail to find the intended ones, which can break certificate validation and revocation checks.

Remediation

Upgrade org.bouncycastle:bcprov-jdk15to18 to version 1.84 or higher.

References

• GitHub Commit
• GitHub Wiki

Overview

org.springframework:spring-web is a package that provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Affected versions of this package are vulnerable to HTTP Request Smuggling via multipart request parsing discrepancies between Spring MVC/WebFlux and intermediary security devices. An attacker can bypass Web Application Firewall (WAF) or proxy security controls by sending crafted multipart requests that are interpreted differently by the intermediary and the Spring application, allowing malicious content to evade inspection and reach the backend application.

Remediation

Upgrade org.springframework:spring-web to version 6.0.0, 6.2.19, 7.0.8 or higher.

References

• GitHub Commit
• GitHub Release
• GitHub Release
• Spring Security Advisory

Overview

org.springframework:spring-core is a core package within the spring-framework that contains multiple classes and utilities.

Affected versions of this package are vulnerable to Regular Expression Denial of Service (ReDoS) via pattern processing in AntPathMatcher. An attacker can cause denial of service by supplying a crafted regular expression pattern to methods such as match(), matchStart(), or extractUriTemplateVariables(), triggering excessive backtracking and CPU consumption during pattern evaluation.

Note: This is only exploitable if attacker-controlled input is used directly or indirectly as the pattern argument to one of the affected AntPathMatcher methods.

Details

Denial of Service (DoS) describes a family of attacks, all aimed at making a system inaccessible to its original and legitimate users. There are many types of DoS attacks, ranging from trying to clog the network pipes to the system by generating a large volume of traffic from many machines (a Distributed Denial of Service - DDoS - attack) to sending crafted requests that cause a system to crash or take a disproportional amount of time to process.

The Regular expression Denial of Service (ReDoS) is a type of Denial of Service attack. Regular expressions are incredibly powerful, but they aren't very intuitive and can ultimately end up making it easy for attackers to take your site down.

Let’s take the following regular expression as an example:

regex = /A(B|C+)+D/

This regular expression accomplishes the following:

• A The string must start with the letter 'A'
• (B|C+)+ The string must then follow the letter A with either the letter 'B' or some number of occurrences of the letter 'C' (the + matches one or more times). The + at the end of this section states that we can look for one or more matches of this section.
• D Finally, we ensure this section of the string ends with a 'D'

The expression would match inputs such as ABBD, ABCCCCD, ABCBCCCD and ACCCCCD

It most cases, it doesn't take very long for a regex engine to find a match:

$ time node -e '/A(B|C+)+D/.test("ACCCCCCCCCCCCCCCCCCCCCCCCCCCCD")'
0.04s user 0.01s system 95% cpu 0.052 total

$ time node -e '/A(B|C+)+D/.test("ACCCCCCCCCCCCCCCCCCCCCCCCCCCCX")'
1.79s user 0.02s system 99% cpu 1.812 total

The entire process of testing it against a 30 characters long string takes around ~52ms. But when given an invalid string, it takes nearly two seconds to complete the test, over ten times as long as it took to test a valid string. The dramatic difference is due to the way regular expressions get evaluated.

Most Regex engines will work very similarly (with minor differences). The engine will match the first possible way to accept the current character and proceed to the next one. If it then fails to match the next one, it will backtrack and see if there was another way to digest the previous character. If it goes too far down the rabbit hole only to find out the string doesn’t match in the end, and if many characters have multiple valid regex paths, the number of backtracking steps can become very large, resulting in what is known as catastrophic backtracking.

Let's look at how our expression runs into this problem, using a shorter string: "ACCCX". While it seems fairly straightforward, there are still four different ways that the engine could match those three C's:

1. CCC
2. CC+C
3. C+CC
4. C+C+C.

The engine has to try each of those combinations to see if any of them potentially match against the expression. When you combine that with the other steps the engine must take, we can use RegEx 101 debugger to see the engine has to take a total of 38 steps before it can determine the string doesn't match.

From there, the number of steps the engine must use to validate a string just continues to grow.

By the time the string includes 14 C's, the engine has to take over 65,000 steps just to see if the string is valid. These extreme situations can cause them to work very slowly (exponentially related to input size, as shown above), allowing an attacker to exploit this and can cause the service to excessively consume CPU, resulting in a Denial of Service.

Remediation

Upgrade org.springframework:spring-core to version 6.0.0, 6.2.19, 7.0.8 or higher.

References

• GitHub Commit
• GitHub Release
• GitHub Release
• Spring Security Advisory

Overview

Affected versions of this package are vulnerable to Exposed Dangerous Method or Function via Spring Expression Language (SpEL) method invocation handling. An attacker can invoke arbitrary zero-argument methods by supplying crafted SpEL expressions, even in contexts intended to restrict method execution or provide read-only access. This may allow execution of unintended application logic and access to functionality that should not be exposed through expression evaluation.

Note: This is only exploitable if the application accepts and evaluates untrusted or user-controlled SpEL expressions.

Remediation

Upgrade org.springframework:spring-expression to version 6.0.0, 6.2.19, 7.0.8 or higher.

References

• GitHub Commit
• GitHub Release
• GitHub Release
• Spring Security Advisory

Overview

org.springframework:spring-web is a package that provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Affected versions of this package are vulnerable to Server-side Request Forgery (SSRF) via incorrect host parsing in UriComponentsBuilder. An attacker can perform server-side request forgery by supplying a crafted URL that is interpreted differently than intended during validation, allowing requests to be sent to unintended hosts despite application-level hostname validation checks.

Remediation

Upgrade org.springframework:spring-web to version 6.2.19, 7.0.8 or higher.

References

• GitHub Commit
• GitHub Release
• GitHub Release
• Spring Security Advisory

Overview

org.springframework:spring-web is a package that provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Affected versions of this package are vulnerable to Session Fixation via session fixation handling. An attacker controlling a compromised subdomain can obtain a known session identifier and subsequently cause it to be associated with an authenticated user session, allowing unauthorized use of the victim's authenticated session.

Note: This is only exploitable if an attacker can control or execute script within a subdomain of the target application (for example through a cross-site scripting vulnerability).

Remediation

Upgrade org.springframework:spring-web to version 6.0.0, 6.2.19, 7.0.8 or higher.

References

• GitHub Commit
• GitHub Commit
• GitHub Release
• GitHub Release
• Spring Security Advisory

Overview

org.springframework:spring-web is a package that provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Affected versions of this package are vulnerable to Cross-site Scripting (XSS) via improper escaping in JavaScriptUtils.javaScriptEscape(). An attacker can inject arbitrary JavaScript code into a web page when user-controlled input is escaped using javaScriptEscape() and subsequently embedded into a JavaScript context. Incorrect escaping may allow malicious input to break out of the intended context and execute in the victim's browser.

Details

Cross-site scripting (or XSS) is a code vulnerability that occurs when an attacker “injects” a malicious script into an otherwise trusted website. The injected script gets downloaded and executed by the end user’s browser when the user interacts with the compromised website.

This is done by escaping the context of the web application; the web application then delivers that data to its users along with other trusted dynamic content, without validating it. The browser unknowingly executes malicious script on the client side (through client-side languages; usually JavaScript or HTML) in order to perform actions that are otherwise typically blocked by the browser’s Same Origin Policy.

Injecting malicious code is the most prevalent manner by which XSS is exploited; for this reason, escaping characters in order to prevent this manipulation is the top method for securing code against this vulnerability.

Escaping means that the application is coded to mark key characters, and particularly key characters included in user input, to prevent those characters from being interpreted in a dangerous context. For example, in HTML, < can be coded as &lt; and > can be coded as &gt; in order to be interpreted and displayed as themselves in text, while within the code itself, they are used for HTML tags. If malicious content is injected into an application that escapes special characters and that malicious content uses < and > as HTML tags, those characters are nonetheless not interpreted as HTML tags by the browser if they’ve been correctly escaped in the application code and in this way the attempted attack is diverted.

The most prominent use of XSS is to steal cookies (source: OWASP HttpOnly) and hijack user sessions, but XSS exploits have been used to expose sensitive information, enable access to privileged services and functionality and deliver malware.

Types of attacks

There are a few methods by which XSS can be manipulated:

Affected environments

The following environments are susceptible to an XSS attack:

• Web servers
• Application servers
• Web application environments

How to prevent

This section describes the top best practices designed to specifically protect your code:

• Sanitize data input in an HTTP request before reflecting it back, ensuring all data is validated, filtered or escaped before echoing anything back to the user, such as the values of query parameters during searches.
• Convert special characters such as ?, &, /, <, > and spaces to their respective HTML or URL encoded equivalents.
• Give users the option to disable client-side scripts.
• Redirect invalid requests.
• Detect simultaneous logins, including those from two separate IP addresses, and invalidate those sessions.
• Use and enforce a Content Security Policy (source: Wikipedia) to disable any features that might be manipulated for an XSS attack.
• Read the documentation for any of the libraries referenced in your code to understand which elements allow for embedded HTML.

Remediation

Upgrade org.springframework:spring-web to version 6.0.0, 6.2.19, 7.0.8 or higher.

References

• GitHub Commit
• GitHub Release
• GitHub Release
• Spring Security Advisory

Overview

bouncycastle:bcprov-jdk15 is a Java implementation of cryptographic algorithms.

Affected versions of this package are vulnerable to Cryptographic Issues. The TLS implementation does not properly consider timing side-channel attacks on a noncompliant MAC check operation during the processing of malformed CBC padding, which allows remote attackers to conduct distinguishing attacks and plaintext-recovery attacks via statistical analysis of timing data for crafted packets, a related issue to CVE-2013-0169.

Remediation

There is no fixed version for bouncycastle:bcprov-jdk15.

References

• NVD
• OSS security Advisory
• University of London