CVE-2026-14742: Use of Weak Hash in langchain-ai langgraph
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.
AI Analysis
Technical Summary
CVE-2026-14742 identifies a vulnerability in langchain-ai langgraph versions 1.2.0 through 1.2.4 within the _freeze function of libs/langgraph/langgraph/_internal/_cache.py. The issue involves the use of a weak hash due to manipulation of the default_cache_key argument in the Task Result Cache component. Remote exploitation is possible but difficult, with high attack complexity and low impact. Although a pull request for a fix exists, it has not yet been merged or officially released. No known exploits are currently active in the wild.
Potential Impact
The vulnerability allows an attacker to remotely exploit the use of a weak hash in the caching mechanism, potentially undermining the integrity or reliability of cached task results. However, the low CVSS score (2.3) and the high complexity required for exploitation indicate limited practical impact. There are no known active exploits in the wild at this time.
Mitigation Recommendations
No official fix or patch has been released yet. A pull request addressing the issue is pending acceptance. Users should monitor the vendor's repository or advisory channels for the official patch. Until then, no specific mitigation steps are documented. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.
CVE-2026-14742: Use of Weak Hash in langchain-ai langgraph
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.
CVSS v4.0
Score 2.3low
Affected software
pkg:npm/langchain-ai/langgraphcpe:2.3:a:langchain-ai:langgraph:*:*:*:*:*:*:*:*Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-14742 identifies a vulnerability in langchain-ai langgraph versions 1.2.0 through 1.2.4 within the _freeze function of libs/langgraph/langgraph/_internal/_cache.py. The issue involves the use of a weak hash due to manipulation of the default_cache_key argument in the Task Result Cache component. Remote exploitation is possible but difficult, with high attack complexity and low impact. Although a pull request for a fix exists, it has not yet been merged or officially released. No known exploits are currently active in the wild.
Potential Impact
The vulnerability allows an attacker to remotely exploit the use of a weak hash in the caching mechanism, potentially undermining the integrity or reliability of cached task results. However, the low CVSS score (2.3) and the high complexity required for exploitation indicate limited practical impact. There are no known active exploits in the wild at this time.
Mitigation Recommendations
No official fix or patch has been released yet. A pull request addressing the issue is pending acceptance. Users should monitor the vendor's repository or advisory channels for the official patch. Until then, no specific mitigation steps are documented. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-07-04T12:46:38.803Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a4a375727e9c79719b13a75
Added to database: 07/05/2026, 10:52:07 UTC
Last enriched: 07/13/2026, 08:55:06 UTC
Last updated: 08/19/2026, 10:57:07 UTC
Views: 112
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