osv-2022-283
Vulnerability from osv_ossfuzz
Published
2022-03-26 00:01
Modified
2022-03-26 00:01
Summary
Heap-buffer-overflow in epassNUMBER_hook_path
Details
OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=46006
Crash type: Heap-buffer-overflow READ 1
Crash state:
epassNUMBER_hook_path
epassNUMBER_hook_file
epassNUMBER_create_file
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"severity": "MEDIUM"
},
"package": {
"ecosystem": "OSS-Fuzz",
"name": "opensc",
"purl": "pkg:generic/opensc"
},
"ranges": [
{
"events": [
{
"introduced": "bec4f63c5b8308d7fdca842c5c0b62c3491d106a"
},
{
"fixed": "da37a0d5ece632080351c529ac87f00495eddbfa"
}
],
"repo": "https://github.com/OpenSC/OpenSC",
"type": "GIT"
}
],
"versions": []
}
],
"details": "OSS-Fuzz report: https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=46006\n\n```\nCrash type: Heap-buffer-overflow READ 1\nCrash state:\nepassNUMBER_hook_path\nepassNUMBER_hook_file\nepassNUMBER_create_file\n```\n",
"id": "OSV-2022-283",
"modified": "2022-03-26T00:01:45.914434Z",
"published": "2022-03-26T00:01:45.914197Z",
"references": [
{
"type": "REPORT",
"url": "https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=46006"
}
],
"schema_version": "1.2.0",
"summary": "Heap-buffer-overflow in epassNUMBER_hook_path"
}
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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.
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- 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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