GHSA-9PW3-X84F-XCWF
Vulnerability from github – Published: 2026-08-05 21:31 – Updated: 2026-10-05 22:31
Withdrawn 2026-10-05
VLAI
Summary
Duplicate Advisory: Langflow: Weak Fernet Key via random.seed()
Details
Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-jxw3-mjmx-3pqm. This link is maintained to preserve external references.
Original Description
IBM Langflow OSS contains a weak cryptographic key derivation vulnerability in the ensure_fernet_key() function.
Severity
7.4 (High)
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "langflow"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.10.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [
"CWE-338"
],
"github_reviewed": true,
"github_reviewed_at": "2026-10-05T22:31:30Z",
"nvd_published_at": "2026-08-05T19:17:49Z",
"severity": "HIGH"
},
"details": "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of\u00a0GHSA-jxw3-mjmx-3pqm. This link is maintained to preserve external references.\n\n## Original Description\nIBM Langflow OSS contains a weak cryptographic key derivation vulnerability in the\u00a0ensure_fernet_key() function.",
"id": "GHSA-9pw3-x84f-xcwf",
"modified": "2026-10-05T22:31:30Z",
"published": "2026-08-05T21:31:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-9205"
},
{
"type": "WEB",
"url": "https://github.com/langflow-ai/langflow/pull/13704"
},
{
"type": "WEB",
"url": "https://github.com/langflow-ai/langflow/commit/094694d3f20c1da499f4d8dbac15c510609e3026"
},
{
"type": "WEB",
"url": "https://www.ibm.com/support/pages/node/7282648"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N",
"type": "CVSS_V3"
}
],
"summary": "Duplicate Advisory: Langflow: Weak Fernet Key via random.seed()",
"withdrawn": "2026-10-05T22:31:30Z"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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