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GHSA-g7q5-pjjr-gqvp CVE-2017-15010

Regular Expression Denial of Service in tough-cookie

High npm
Severity
7.5 / 10
High · CVSS 3.0
Exploit chance (EPSS)
3.28%
Chance of exploitation in the next 30 days. Higher than 88.45% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
2.3.3
Upgrade tough-cookie to this version or later

Description

Affected versions of tough-cookie are susceptible to a regular expression denial of service.

The amplification on this vulnerability is relatively low - it takes around 2 seconds for the engine to execute on a malicious input which is 50,000 characters in length.

If node was compiled using the -DHTTP_MAX_HEADER_SIZE however, the impact of the vulnerability can be significant, as the primary limitation for the vulnerability is the default max HTTP header length in node.

Recommendation

Update to version 2.3.3 or later.

Affected versions

npm

PackageVulnerableFixed in
tough-cookie
< 2.3.3
2.3.3

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.

tough-cookie npm → 2.3.3

npm
npm install tough-cookie@2.3.3
yarn
yarn add tough-cookie@2.3.3
pnpm
pnpm add tough-cookie@2.3.3

Severity breakdown

CVSS 3.0 7.5

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Weakness

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-72xf-g2v4-qvf3
tough-cookie Prototype Pollution vulnerability
Critical Also affects tough-cookie
GHSA-qhv9-728r-6jqg
ReDoS via long string of semicolons in tough-cookie
Medium Also affects tough-cookie
GHSA-cggf-277g-3q54
pypdf has possible large memory usage when parsing page tree
High Same weakness, CWE-400
GHSA-3g3m-2fjr-6pw4
Glob: AbortSignal cancellation bypass allows post-timeout filesystem traversal
Medium Same weakness, CWE-400
GHSA-42gh-23hr-vphw
pypdf has possible long runtimes when retrieving page labels
High Same weakness, CWE-400
GHSA-4vqv-7265-gm2w
pypdf has possible large memory usage for exceptions in strict mode
High Same weakness, CWE-400
GHSA-62m5-6wh8-28x7
pypdf has possible long runtimes/large memory usage for encrypted PDF files
High Same weakness, CWE-400
GHSA-7wch-p9px-956x
Forge: Regular expression denial of service in PEM decoding (pem.decode)
High Same weakness, CWE-400
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