CVE-2026-7874: CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in IBM Langflow OSS
IBM Langflow OSS 1.0.0 through 1.10.0 Langflow could allow disclosure of all stored credentials due to the use of a weak and reversible key derivation mechanism for encryption at rest.
AI Analysis
Technical Summary
CVE-2026-7874 identifies a cryptographic weakness in IBM Langflow OSS versions 1.0.0 through 1.10.0. The product uses a weak and reversible key derivation mechanism based on a cryptographically weak PRNG for encrypting credentials at rest. This flaw can lead to the disclosure of all stored credentials, compromising confidentiality. The vulnerability has a CVSS 3.1 base score of 9.1, indicating critical severity with network attack vector, low attack complexity, no privileges or user interaction required, and high impact on confidentiality and integrity. No official patch or remediation level is currently provided by IBM, and no known exploits are reported in the wild.
Potential Impact
Successful exploitation of this vulnerability could result in full disclosure of all stored credentials within IBM Langflow OSS, leading to a critical breach of confidentiality and integrity. There is no impact on availability reported. The weakness allows attackers to potentially recover encryption keys due to the reversible and weak key derivation process.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider restricting network access to the affected versions and avoid storing sensitive credentials in affected installations. Monitor IBM advisories for updates on patches or mitigations.
CVE-2026-7874: CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in IBM Langflow OSS
Description
IBM Langflow OSS 1.0.0 through 1.10.0 Langflow could allow disclosure of all stored credentials due to the use of a weak and reversible key derivation mechanism for encryption at rest.
CVSS v3.1
Score 9.1critical
Affected software
cpe:2.3:a:ibm:langflow_oss:1.0.0:*:*:*:*:*:*:*cpe:2.3:a:ibm:langflow_oss:1.10.0:*:*:*:*:*:*:*Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-7874 identifies a cryptographic weakness in IBM Langflow OSS versions 1.0.0 through 1.10.0. The product uses a weak and reversible key derivation mechanism based on a cryptographically weak PRNG for encrypting credentials at rest. This flaw can lead to the disclosure of all stored credentials, compromising confidentiality. The vulnerability has a CVSS 3.1 base score of 9.1, indicating critical severity with network attack vector, low attack complexity, no privileges or user interaction required, and high impact on confidentiality and integrity. No official patch or remediation level is currently provided by IBM, and no known exploits are reported in the wild.
Potential Impact
Successful exploitation of this vulnerability could result in full disclosure of all stored credentials within IBM Langflow OSS, leading to a critical breach of confidentiality and integrity. There is no impact on availability reported. The weakness allows attackers to potentially recover encryption keys due to the reversible and weak key derivation process.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider restricting network access to the affected versions and avoid storing sensitive credentials in affected installations. Monitor IBM advisories for updates on patches or mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- ibm
- Date Reserved
- 2026-05-05T14:23:39.800Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a441ac027e9c7971948ab73
Added to database: 06/30/2026, 19:36:32 UTC
Last enriched: 06/30/2026, 19:51:17 UTC
Last updated: 06/30/2026, 21:33:10 UTC
Views: 7
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