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IBM Langflow CVE-2026-8476

| EUVDEUVD-2026-45276 CRITICAL
Deserialization of Untrusted Data (CWE-502)
2026-07-17 ibm GHSA-r5mm-2qch-fmmr
9.9
CVSS 3.1 · Vendor: ibm
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Severity by source

Vendor (ibm) PRIMARY
9.9 CRITICAL
AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
vuln.today AI
9.9 CRITICAL

Network-reachable API with low-privilege access feeding the cache justifies AV:N/AC:L/PR:L; pickle RCE escaping the app to the host process supports S:C and full C/I/A loss.

3.1 AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Primary rating from Vendor (ibm).

CVSS VectorVendor: ibm

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

Lifecycle Timeline

2
Analysis Generated
Jul 17, 2026 - 19:47 vuln.today
CVE Published
Jul 17, 2026 - 19:11 cve.org
CRITICAL 9.9

DescriptionCVE.org

IBM Langflow OSS 1.0.0 through 1.10.0 contain a critical remote code execution vulnerability in the disk-based caching mechanism. The AsyncDiskCache class uses Python's unsafe pickle.loads() function to deserialize cached objects from disk without validation, integrity verification, or authentication, enabling arbitrary code execution when malicious pickle payloads are processed. Attackers who can influence cached data through file system access, malicious workflow inputs, custom components, or API manipulation can achieve complete system compromise with the privileges of the Langflow server process.

AnalysisAI

Remote code execution in IBM Langflow OSS 1.0.0 through 1.10.0 allows attackers to run arbitrary code by planting a malicious pickle payload that the AsyncDiskCache deserializes with unauthenticated pickle.loads(). Any actor able to influence cached data - via file system access, crafted workflow inputs, custom components, or API manipulation - gains full compromise at the privilege of the Langflow server process. Rated CVSS 9.9 and reported by IBM with a vendor patch available; no public exploit identified at time of analysis.

Technical ContextAI

Langflow is a Python-based visual framework for building LLM/agent workflows. The flaw sits in its disk-based caching layer: the AsyncDiskCache class serializes and retrieves cached objects using Python's pickle module, and reads them back with pickle.loads() without any integrity check, signature verification, or type validation. This is a textbook CWE-502 (Deserialization of Untrusted Data) issue - pickle's opcode stream can invoke arbitrary callables (via __reduce__), so deserializing attacker-controlled bytes is equivalent to executing attacker code. The single affected package per CPE is cpe:2.3:a:ibm:langflow_oss (all versions in the 1.0.0-1.10.0 range).

RemediationAI

Patch available per vendor advisory - upgrade to the fixed IBM Langflow OSS release identified in IBM's advisory at https://www.ibm.com/support/pages/node/7278922 (an exact fixed version number was not included in the provided data, so confirm it there before deploying). Until patched, restrict who can reach and write to Langflow: run the disk cache directory on storage writable only by the server process and enforce strict OS file permissions so no other user or workflow can drop crafted cache files; place the Langflow API behind authentication and network controls so untrusted users cannot submit workflows, custom components, or API calls that flow into the cache; and consider disabling or clearing disk-based caching if operationally acceptable (trade-off: reduced performance and loss of cache persistence). These controls narrow, but do not eliminate, the paths the description lists (file system access, malicious workflow inputs, custom components, API manipulation).

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CVE-2026-8476 vulnerability details – vuln.today

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