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GHSA-v6j3-7jrw-hq2p CVE-2011-5036

Rack Gem Subject to Denial of Service via Hash Collisions

Medium MavenRubyGems
Severity
Medium
The publisher's own rating, not a CVSS score
Exploit chance (EPSS)
3.87%
Chance of exploitation in the next 30 days. Higher than 90.20% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-328 Use of Weak Hash
CWE-400 Uncontrolled Resource Consumption
Fix
Available
2 packages have a fixed version

Description

Rack before 1.1.3, 1.2.x before 1.2.5, and 1.3.x before 1.3.6 computes hash values for form parameters without restricting the ability to trigger hash collisions predictably, which allows remote attackers to cause a denial of service (CPU consumption) by sending many crafted parameters.

Affected versions

Maven

PackageVulnerableFixed in
org.jruby:jruby-parent
< 1.6.5.1
1.6.5.1

RubyGems

PackageVulnerableFixed in
rack
< 1.1.3
1.1.3
rack
>= 1.2.0, < 1.2.5
1.2.5
rack
>= 1.3.0, < 1.3.6
1.3.6

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

org.jruby:jruby-parent Maven → 1.6.5.1

maven
<dependency><groupId>org.jruby</groupId><artifactId>jruby-parent</artifactId><version>1.6.5.1</version></dependency>
gradle
implementation("org.jruby:jruby-parent:1.6.5.1")

rack RubyGems → 1.1.3

bundler
bundle update rack # Gemfile: gem "rack", ">= 1.1.3"

Weakness

CWE-328: Use of Weak Hash

The product uses an algorithm that produces a digest (output value) that does not meet security expectations for a hash function that allows an adversary to reasonably determine the original input (preimage attack), find another input that can produce the same hash (2nd preimage attack), or find multiple inputs that evaluate to the same hash (birthday attack).

How to prevent it
  • Architecture and Design: Use an adaptive hash function that can be configured to change the amount of computational effort needed to compute the hash, such as the number of iterations ("stretching") or the amount of memory required. Some hash functions perform salting automatically. These functions can significantly increase the overhead for a brute force attack compared to intentionally-fast functions such as MD5. For example, rainbow table attacks can become infeasible due to the high computing overhead. Finally, since computing power gets faster and cheaper over time, the technique can be reconfigured to increase the workload without forcing an entire replacement of the algorithm in use. Some hash functions that have one or more of these desired properties include bcrypt [REF-291], scrypt [REF-292], and PBKDF2 [REF-293]. While there is active debate about which of these is the most effective, they are all stronger than using salts with hash functions with very little computing overhead. Note that using these functions can have an impact on performance, so they require special consideration to avoid denial-of-service attacks. However, their configurability provides finer control over how much CPU and memory is used, so it could be adjusted to suit the environment's needs.

CWE-400: Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

How to prevent it
  • Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-g2pf-xv49-m2h5
Rack::Request accepts invalid Host characters, enabling host allowlist bypass
Medium Also affects rack
GHSA-v6x5-cg8r-vv6x
Rack's multipart header parsing allows Denial of Service via escape-heavy quoted parameters
High Also affects rack
GHSA-qfgr-crr9-7r49
Rack: Forwarded Header semicolon injection enables Host and Scheme spoofing
Medium Also affects rack
GHSA-rx22-g9mx-qrhv
Rack's improper unfolding of folded multipart headers preserves CRLF in parsed parameter values
Medium Also affects rack
GHSA-q2ww-5357-x388
Rack has Content-Length mismatch in Rack::Files error responses
Medium Also affects rack
GHSA-qv7j-4883-hwh7
Rack::Sendfile header-based X-Accel-Mapping regex injection enables unauthorized X-Accel-Redirect
High Also affects rack
GHSA-8vqr-qjwx-82mw
Rack's multipart parsing without Content-Length header allows unbounded chunked file uploads
High Also affects rack
GHSA-x8cg-fq8g-mxfx
Rack's multipart byte range processing allows denial of service via excessive overlapping ranges
High Also affects rack
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