MAL-2026-16357
Vulnerability from ossf_malicious_packages
Published
2026-09-21 19:06
Modified
2026-09-21 19:06
Summary
Malicious code in @asdfaskdjfksadhfkasf/nadaver2 (npm)
Details
-= Per source details. Do not edit below this line.=-
Source: ossf-package-analysis (278821d7a9d245a4193d8536c0b127f61cf1b13335dfe91abaefece6b908a57e)
The OpenSSF Package Analysis project identified '@asdfaskdjfksadhfkasf/nadaver2' @ 102.0.0 (npm) as malicious.
It is considered malicious because:
-
The package communicates with a domain associated with malicious activity.
-
The package executes one or more commands associated with malicious behavior.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "@asdfaskdjfksadhfkasf/nadaver2"
},
"versions": [
"102.0.0"
]
}
],
"credits": [
{
"contact": [
"https://github.com/ossf/package-analysis",
"https://openssf.slack.com/channels/package_analysis"
],
"name": "OpenSSF: Package Analysis",
"type": "FINDER"
}
],
"database_specific": {
"malicious-packages-origins": [
{
"import_time": "2026-09-21T19:14:55.95687311Z",
"modified_time": "2026-09-21T19:06:07Z",
"sha256": "278821d7a9d245a4193d8536c0b127f61cf1b13335dfe91abaefece6b908a57e",
"source": "ossf-package-analysis",
"versions": [
"102.0.0"
]
}
]
},
"details": "\n---\n_-= Per source details. Do not edit below this line.=-_\n\n## Source: ossf-package-analysis (278821d7a9d245a4193d8536c0b127f61cf1b13335dfe91abaefece6b908a57e)\nThe OpenSSF Package Analysis project identified \u0027@asdfaskdjfksadhfkasf/nadaver2\u0027 @ 102.0.0 (npm) as malicious.\n\nIt is considered malicious because:\n\n- The package communicates with a domain associated with malicious activity.\n\n- The package executes one or more commands associated with malicious behavior.\n",
"id": "MAL-2026-16357",
"modified": "2026-09-21T19:06:07Z",
"published": "2026-09-21T19:06:07Z",
"schema_version": "1.7.4",
"summary": "Malicious code in @asdfaskdjfksadhfkasf/nadaver2 (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.
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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