mal-2025-191582
Vulnerability from ossf_malicious_packages
Published
2025-12-01 13:22
Modified
2026-03-19 12:23
Summary
Malicious code in react-mandes (npm)
Details
-= Per source details. Do not edit below this line.=-
Source: amazon-inspector (8242aeb2b6b10985e7b4c0a35cb731d81095b7f039aea2886d0c4c35ffa5d9ea)
The package react-mandes was found to contain malicious code.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "react-mandes",
"purl": "pkg:npm/react-mandes"
},
"versions": [
"1.1.4"
]
}
],
"aliases": [
"SNYK-JS-REACTMANDES-14152287"
],
"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-2025-05927",
"import_time": "2025-12-02T09:09:53.281338542Z",
"modified_time": "2025-12-01T13:22:29Z",
"sha256": "e5cfba51cc292f5ad11cf139ee51d113e9402e0951978df043ad4dec52d155c5",
"source": "reversing-labs",
"versions": [
"1.1.4"
]
},
{
"import_time": "2025-12-02T21:35:52.265276056Z",
"modified_time": "2025-12-02T21:11:00Z",
"sha256": "8242aeb2b6b10985e7b4c0a35cb731d81095b7f039aea2886d0c4c35ffa5d9ea",
"source": "amazon-inspector",
"versions": [
"1.1.4"
]
},
{
"id": "RLUA-2025-06458",
"import_time": "2025-12-24T10:07:35.50477643Z",
"modified_time": "2025-12-23T08:26:47Z",
"sha256": "ee17c53efa00cfaf190a57f99eff4a9752b28a427bcee630f21da494dbee7bd7",
"source": "reversing-labs"
},
{
"id": "RLUA-2026-01528",
"import_time": "2026-03-19T12:20:57.753020418Z",
"modified_time": "2026-03-18T13:06:26Z",
"sha256": "de37e0dfe88db82f9cb240bbdbe68aae7570d5e6218f51de9b515e17817bb224",
"source": "reversing-labs"
}
]
},
"details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: amazon-inspector (8242aeb2b6b10985e7b4c0a35cb731d81095b7f039aea2886d0c4c35ffa5d9ea)\nThe package react-mandes was found to contain malicious code.\n",
"id": "MAL-2025-191582",
"modified": "2026-03-19T12:23:22Z",
"published": "2025-12-01T13:22:29Z",
"references": [
{
"type": "ARTICLE",
"url": "https://socket.dev/blog/north-korea-contagious-interview-npm-attacks"
},
{
"type": "ADVISORY",
"url": "https://security.snyk.io/vuln/SNYK-JS-REACTMANDES-14152287"
},
{
"type": "ARTICLE",
"url": "https://thehackernews.com/2025/11/north-korean-hackers-deploy-197-npm.html"
}
],
"schema_version": "1.7.4",
"summary": "Malicious code in react-mandes (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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