CVE-2026-9205: CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in IBM Langflow OSS
IBM Langflow OSS contains a weak cryptographic key derivation vulnerability in the ensure_fernet_key() function.
AI Analysis
Technical Summary
CVE-2026-9205 identifies a cryptographic weakness in IBM Langflow OSS version 1.0.0 caused by the use of a weak pseudo-random number generator in the ensure_fernet_key() function. This flaw corresponds to CWE-338 and impacts the strength of cryptographic key derivation, which can lead to compromised confidentiality and integrity of encrypted data. The vulnerability is rated high severity with a CVSS 3.1 score of 7.4, indicating network attack vector, high complexity, no privileges or user interaction required, and high impact on confidentiality and integrity. IBM has published this vulnerability but has not yet provided an official fix or remediation level. The product is not a cloud service, so remediation depends on vendor updates.
Potential Impact
The use of a weak cryptographic pseudo-random number generator in key derivation can allow attackers to predict or reproduce cryptographic keys, potentially leading to unauthorized access to sensitive data or manipulation of protected information. The vulnerability impacts confidentiality and integrity but does not affect availability. No active exploitation is currently known.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or temporary mitigation has been provided by IBM, users should monitor IBM's advisories for updates. Until a patch is available, consider restricting network exposure of affected systems and reviewing cryptographic key management practices if possible.
CVE-2026-9205: CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in IBM Langflow OSS
Description
IBM Langflow OSS contains a weak cryptographic key derivation vulnerability in the ensure_fernet_key() function.
CVSS v3.1
Score 7.4high
Affected software
IBM
Langflow OSS
cpe:2.3:a:ibm:langflow_oss:1.0.0:*:*:*:*:*:*:*cpe:2.3:a:ibm:langflow_oss:1.10.3:*:*:*:*:*:*:*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-2026-9205 identifies a cryptographic weakness in IBM Langflow OSS version 1.0.0 caused by the use of a weak pseudo-random number generator in the ensure_fernet_key() function. This flaw corresponds to CWE-338 and impacts the strength of cryptographic key derivation, which can lead to compromised confidentiality and integrity of encrypted data. The vulnerability is rated high severity with a CVSS 3.1 score of 7.4, indicating network attack vector, high complexity, no privileges or user interaction required, and high impact on confidentiality and integrity. IBM has published this vulnerability but has not yet provided an official fix or remediation level. The product is not a cloud service, so remediation depends on vendor updates.
Potential Impact
The use of a weak cryptographic pseudo-random number generator in key derivation can allow attackers to predict or reproduce cryptographic keys, potentially leading to unauthorized access to sensitive data or manipulation of protected information. The vulnerability impacts confidentiality and integrity but does not affect availability. No active exploitation is currently known.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or temporary mitigation has been provided by IBM, users should monitor IBM's advisories for updates. Until a patch is available, consider restricting network exposure of affected systems and reviewing cryptographic key management practices if possible.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- ibm
- Date Reserved
- 2026-05-21T16:40:09.152Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6a738076bf8831d53945c689
Added to database: 08/05/2026, 18:27:02 UTC
Last enriched: 08/13/2026, 16:53:32 UTC
Last updated: 09/19/2026, 10:01:34 UTC
Views: 54
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