Template Injection Affecting langchain-core package, versions [,0.3.80)[0.4.0.dev0, 1.0.7)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-PYTHON-LANGCHAINCORE-14100977
- published23 Nov 2025
- disclosed21 Nov 2025
- credit0xn3va
Introduced: 21 Nov 2025
NewCVE-2025-65106 (opens in a new tab)How to fix?
Upgrade langchain-core to version 0.3.80, 1.0.7 or higher.
Overview
langchain-core is a Building applications with LLMs through composability
Affected versions of this package are vulnerable to Template Injection in the prompt template system. An attacker can access internal Python object attributes by submitting specially crafted template strings to ChatPromptTemplate and related prompt template classes.
Note: The vulnerability specifically requires that applications accept template strings (the structure) from untrusted sources, not just template variables (the data).
Most applications either do not use templates or else use hardcoded templates and are not vulnerable.