CVE-2026-14742: langchain-ai langgraph

Vulnerability summary

CVE-2026-14742 is a low (CVSS 3.1) vulnerability in langchain-ai langgraph. EPSS estimates a 0.23% chance of exploitation in the next 30 days, higher than 13.2% of scored vulnerabilities. 1 public exploit is recorded.

Timeline

1. 05-07-2026
   PublishedVulnerability first disclosed.
2. 06-07-2026
   Last modifiedVulnerability information updated.

Description

A vulnerability was determined in langchain-ai langgraph up to 1.2.4. The affected element is the function _freeze of the file libs/langgraph/langgraph/_internal/_cache.py of the component Task Result Cache. This manipulation of the argument default_cache_key causes use of weak hash. The attack is possible to be carried out remotely. The complexity of an attack is rather high. The exploitability is described as difficult. The exploit has been publicly disclosed and may be utilized. The pull request to fix this issue awaits acceptance.

• CWE-327Use of a Broken or Risky Cryptographic AlgorithmThe product uses a broken or risky cryptographic algorithm or protocol.
• CWE-328Use of Weak HashThe 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).