CVE-2026-3357: CWE-502 Deserialization of Untrusted Data in IBM Langflow Desktop
IBM Langflow Desktop versions 1. 6. 0 through 1. 8. 2 contain a vulnerability (CVE-2026-3357) due to insecure default settings that allow deserialization of untrusted data in the FAISS component. This flaw enables an authenticated user to execute arbitrary code on the affected system. The vulnerability has a high severity with a CVSS score of 8. 8, indicating significant impact on confidentiality, integrity, and availability. No official patch or remediation guidance is currently provided by IBM. There are no known exploits in the wild at this time.
AI Analysis
Technical Summary
CVE-2026-3357 is a deserialization vulnerability (CWE-502) in IBM Langflow Desktop versions 1.6.0 through 1.8.2. The issue arises from an insecure default configuration in the FAISS component that permits deserialization of untrusted data. This can be exploited by an authenticated user to execute arbitrary code on the system, impacting confidentiality, integrity, and availability. The vulnerability is rated high severity with a CVSS 3.1 score of 8.8. No vendor patch or official remediation level has been published yet.
Potential Impact
An authenticated attacker can leverage this vulnerability to execute arbitrary code on the affected system, potentially leading to full compromise of confidentiality, integrity, and availability of the system running IBM Langflow Desktop. This could allow unauthorized actions and control over the system.
Mitigation Recommendations
Patch status is not yet confirmed — check the IBM vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the affected versions to trusted users only and monitor for unusual activity related to deserialization processes. Avoid loading untrusted data in the FAISS component where possible.
CVE-2026-3357: CWE-502 Deserialization of Untrusted Data in IBM Langflow Desktop
Description
IBM Langflow Desktop versions 1. 6. 0 through 1. 8. 2 contain a vulnerability (CVE-2026-3357) due to insecure default settings that allow deserialization of untrusted data in the FAISS component. This flaw enables an authenticated user to execute arbitrary code on the affected system. The vulnerability has a high severity with a CVSS score of 8. 8, indicating significant impact on confidentiality, integrity, and availability. No official patch or remediation guidance is currently provided by IBM. There are no known exploits in the wild at this time.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-3357 is a deserialization vulnerability (CWE-502) in IBM Langflow Desktop versions 1.6.0 through 1.8.2. The issue arises from an insecure default configuration in the FAISS component that permits deserialization of untrusted data. This can be exploited by an authenticated user to execute arbitrary code on the system, impacting confidentiality, integrity, and availability. The vulnerability is rated high severity with a CVSS 3.1 score of 8.8. No vendor patch or official remediation level has been published yet.
Potential Impact
An authenticated attacker can leverage this vulnerability to execute arbitrary code on the affected system, potentially leading to full compromise of confidentiality, integrity, and availability of the system running IBM Langflow Desktop. This could allow unauthorized actions and control over the system.
Mitigation Recommendations
Patch status is not yet confirmed — check the IBM vendor advisory for current remediation guidance. Until an official fix is available, restrict access to the affected versions to trusted users only and monitor for unusual activity related to deserialization processes. Avoid loading untrusted data in the FAISS component where possible.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- ibm
- Date Reserved
- 2026-02-27T18:17:58.431Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69d5a90e43e2781badc258e8
Added to database: 4/8/2026, 1:02:06 AM
Last enriched: 4/8/2026, 1:16:46 AM
Last updated: 4/8/2026, 2:17:04 AM
Views: 3
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.