FKIE_CVE-2009-2796
Vulnerability from fkie_nvd - Published: 2009-09-10 21:30 - Updated: 2026-06-16 23:10
Severity
Summary
The UIKit component in Apple iPhone OS 3.0, and iPhone OS 3.0.1 for iPod touch, allows physically proximate attackers to discover a password by watching a user undo deletions of characters in the password.
References
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"cpeMatch": [
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"criteria": "cpe:2.3:o:apple:iphone_os:3.0:*:*:*:*:*:*:*",
"matchCriteriaId": "863383DA-0BC6-4A96-835A-A96128EC0202",
"vulnerable": true
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The UIKit component in Apple iPhone OS 3.0, and iPhone OS 3.0.1 for iPod touch, allows physically proximate attackers to discover a password by watching a user undo deletions of characters in the password."
},
{
"lang": "es",
"value": "El componente UIKit en Apple iPhone OS v3.0, y iPhone OS v3.0.1 para iPod touch, permite a atacantes que est\u00e9n f\u00edsicamente pr\u00f3ximos podr\u00edan descubrir la contrase\u00f1a vigilando al usuario cuando borra caracteres del la contrase\u00f1a"
}
],
"id": "CVE-2009-2796",
"lastModified": "2026-06-16T23:10:14.330",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 2.1,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
]
},
"published": "2009-09-10T21:30:01.203",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://lists.apple.com/archives/security-announce/2009/Sep/msg00001.html"
},
{
"source": "cve@mitre.org",
"tags": [
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"url": "http://secunia.com/advisories/36677"
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{
"source": "cve@mitre.org",
"tags": [
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"url": "http://support.apple.com/kb/HT3860"
},
{
"source": "cve@mitre.org",
"url": "http://www.securityfocus.com/bid/36335"
},
{
"source": "cve@mitre.org",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/53185"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"url": "http://lists.apple.com/archives/security-announce/2009/Sep/msg00001.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
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"url": "http://www.securityfocus.com/bid/36335"
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/53185"
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],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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