mal-2025-191586
Vulnerability from ossf_malicious_packages
Published
2025-12-01 13:25
Modified
2026-03-19 12:23
Summary
Malicious code in session-validate (npm)
Details
-= Per source details. Do not edit below this line.=-
Source: amazon-inspector (91001b31023cb6f1a30d084b1c484e703936c4378ac7b76fc85dd023771cd8d2)
The package session-validate was found to contain malicious code.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "session-validate",
"purl": "pkg:npm/session-validate"
},
"versions": [
"2.2.4",
"2.2.6"
]
}
],
"aliases": [
"SNYK-JS-SESSIONVALIDATE-14152304"
],
"credits": [
{
"contact": [
"actran@amazon.com"
],
"name": "Amazon Inspector",
"type": "FINDER"
},
{
"contact": [
"https://www.reversinglabs.com"
],
"name": "ReversingLabs",
"type": "FINDER"
}
],
"database_specific": {
"malicious-packages-origins": [
{
"id": "RLMA-2025-05943",
"import_time": "2025-12-02T09:09:53.847815103Z",
"modified_time": "2025-12-01T13:25:08Z",
"sha256": "bff5ac17a2607f91faa5d24a60de6aa603dfee3517d8e626394260e6a4ab5f9b",
"source": "reversing-labs",
"versions": [
"2.2.4",
"2.2.6"
]
},
{
"import_time": "2025-12-02T21:35:52.34952924Z",
"modified_time": "2025-12-02T21:11:00Z",
"sha256": "91001b31023cb6f1a30d084b1c484e703936c4378ac7b76fc85dd023771cd8d2",
"source": "amazon-inspector",
"versions": [
"2.2.4",
"2.2.6"
]
},
{
"id": "RLUA-2025-06480",
"import_time": "2025-12-24T10:07:35.622671744Z",
"modified_time": "2025-12-23T08:30:14Z",
"sha256": "2baff92083ec620c268cc5f62644cfed43b773f115adb70f916c87ac5f7ff0a1",
"source": "reversing-labs"
},
{
"id": "RLUA-2026-01561",
"import_time": "2026-03-19T12:20:59.706665894Z",
"modified_time": "2026-03-18T13:09:06Z",
"sha256": "9ce1b0f141873cb25e0a971b603b10b1b840dc92824a6a40884d7600f7a82a30",
"source": "reversing-labs"
}
]
},
"details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (91001b31023cb6f1a30d084b1c484e703936c4378ac7b76fc85dd023771cd8d2)\nThe package session-validate was found to contain malicious code.\n",
"id": "MAL-2025-191586",
"modified": "2026-03-19T12:23:23Z",
"published": "2025-12-01T13:25:08Z",
"references": [
{
"type": "ARTICLE",
"url": "https://socket.dev/blog/north-korea-contagious-interview-npm-attacks"
},
{
"type": "ARTICLE",
"url": "https://thehackernews.com/2025/11/north-korean-hackers-deploy-197-npm.html"
},
{
"type": "ADVISORY",
"url": "https://security.snyk.io/vuln/SNYK-JS-SESSIONVALIDATE-14152304"
}
],
"schema_version": "1.7.4",
"summary": "Malicious code in session-validate (npm)"
}
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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.
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.
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