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Langchain CVE-2026-26013

LOW
Server-Side Request Forgery (SSRF) (CWE-918)
2026-02-10 security-advisories@github.com GHSA-2g6r-c272-w58r
3.7
CVSS 3.1 · GitHub Advisory
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Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A10:2021 - Server-Side Request Forgery
ASVS 5.0
V12 - Files and Resources SSRF prevention, URL validation
MITRE ATT&CK

2 techniques across 2 tactics: Initial Access, Credential Access

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Impact

CVSS 3.7 (LOW). Attack vector: Network. Complexity: High. Privileges required: None. User interaction: None.

Exploit ScenarioDerived

An attacker could exploit this vulnerability to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image.

Monitor Track and reassess. Why: LOW severity (CVSS 0.1-3.9).
Patch available 0.0% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 12, 2026

LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.get_num_tokens_from_messages() method fetches arbitrary image_url values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image URLs in user input. This vulnerability...

Earlier versions of this analysis (1)
v1 Mar 12, 2026 - 22:02 CVSS 3.7

LangChain is a framework for building agents and LLM-powered applications. versions up to 1.2.11 is affected by server-side request forgery (ssrf) (CVSS 3.7).

RemediationAI

Fixed in version 1.2.11.. Restrict network access to the affected service where possible.

Affected Packages

pypi langchain-core fix: 1.2.11

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in pypi

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

This vulnerability (CWE-918: Server-Side Request Forgery (SSRF)) affects LangChain is a framework for building agents and LLM-powered applications.. LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.get_num_tokens_from_messages() method fetches arbitrary image_url values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image URLs in user input. This vulnerability is fixed in 1.2.11.

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  • Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

GitHub Advisory PRIMARY 3.7 LOW
AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:L

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

Attack Vector
Network
Attack Complexity
High
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
Low

Lifecycle Timeline

2
Patch released
Mar 31, 2026 - 21:13 nvd
Patch available
CVE Published
Feb 10, 2026 - 22:17 nvd
LOW 3.7

DescriptionGitHub Advisory

LangChain is a framework for building agents and LLM-powered applications. Prior to 1.2.11, the ChatOpenAI.get_num_tokens_from_messages() method fetches arbitrary image_url values without validation when computing token counts for vision-enabled models. This allows attackers to trigger Server-Side Request Forgery (SSRF) attacks by providing malicious image URLs in user input. This vulnerability is fixed in 1.2.11.

Executive ViewAI

Why It Matters

CVE-2026-26013 is a low-severity vulnerability in is a framework for building agents and LLM-powered applications. involving SSRF (CVSS 3.7). The limited severity suggests constrained impact, typically requiring specific conditions or local access for exploitation. Apply vendor updates when available as part of routine maintenance.

Business Impact: Low
Compensating Controls

Apply vendor patch during routine maintenance. Standard security controls provide adequate interim protection.

Threat Intelligence Overview

EPSS Score
0.0%
Top 97% exploitable
Exploit
POC
Public exploit code exists
Data Quality
5 sources
Confidence: Medium

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity LOW
CISA KEV No
Public POC Yes
EPSS 0.0%
Patch available Yes
Active threat No
Deciding rule
LOW severity (CVSS 0.1-3.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
Poc
System Exposure· derived
Open
Automatable· derived
No
Human Impact
Low

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +18
PoC: +20
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.

Affected Products (CPE)GitHub Advisory

cpe:2.3:a:langchain:langchain_core:*:*:*:*:*:python:*:*
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