FKIE_CVE-2009-0657
Vulnerability from fkie_nvd - Published: 2009-02-20 19:30 - Updated: 2026-06-16 23:05
Severity
Summary
Toshiba Face Recognition 2.0.2.32 allows physically proximate attackers to obtain notebook access by presenting a large number of images for which the viewpoint and lighting have been modified to match a stored image of the authorized notebook user.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| toshiba | face_recognition | 2.0.2.32 |
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:h:toshiba:face_recognition:2.0.2.32:*:*:*:*:*:*:*",
"matchCriteriaId": "417FF359-7C27-486B-9635-D5C4D96354D2",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Toshiba Face Recognition 2.0.2.32 allows physically proximate attackers to obtain notebook access by presenting a large number of images for which the viewpoint and lighting have been modified to match a stored image of the authorized notebook user."
},
{
"lang": "es",
"value": "Toshiba Face Recognition v2.0.2.32 permite a atacantes fisicamente proximos obtener acceso al equipo mediante la presentacion de un largo numero de imagenes en las que el punto de vista y la luz ha sido modificada para que coincida con la del usuario legitimo del equipo."
}
],
"id": "CVE-2009-0657",
"lastModified": "2026-06-16T23:05:30.700",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.9,
"confidentialityImpact": "COMPLETE",
"integrityImpact": "COMPLETE",
"vectorString": "AV:L/AC:M/Au:N/C:C/I:C/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.4,
"impactScore": 10.0,
"obtainAllPrivilege": true,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2009-02-20T19:30:00.377",
"references": [
{
"source": "cve@mitre.org",
"url": "http://security.bkis.vn/?p=292"
},
{
"source": "cve@mitre.org",
"url": "http://www.blackhat.com/html/bh-dc-09/bh-dc-09-archives.html#Nguyen"
},
{
"source": "cve@mitre.org",
"url": "http://www.blackhat.com/presentations/bh-dc-09/Nguyen/BlackHat-DC-09-Nguyen-Face-not-your-password.pdf"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/archive/1/498997"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/bid/32700"
},
{
"source": "cve@mitre.org",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/48963"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://security.bkis.vn/?p=292"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.blackhat.com/html/bh-dc-09/bh-dc-09-archives.html#Nguyen"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.blackhat.com/presentations/bh-dc-09/Nguyen/BlackHat-DC-09-Nguyen-Face-not-your-password.pdf"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/archive/1/498997"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/32700"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/48963"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-255"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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.
- 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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