FKIE_CVE-2018-7907
Vulnerability from fkie_nvd - Published: 2018-09-26 13:29 - Updated: 2026-06-17 02:03
Severity
Summary
Some Huawei products Agassi-L09 AGS-L09C100B257CUSTC100D001, AGS-L09C170B253CUSTC170D001, AGS-L09C199B251CUSTC199D001, AGS-L09C229B003CUSTC229D001, Agassi-W09 AGS-W09C100B257CUSTC100D001, AGS-W09C128B252CUSTC128D001, AGS-W09C170B252CUSTC170D001, AGS-W09C229B251CUSTC229D001, AGS-W09C331B003CUSTC331D001, AGS-W09C794B001CUSTC794D001, Baggio2-U01A BG2-U01C100B160CUSTC100D001, BG2-U01C170B160CUSTC170D001, BG2-U01C199B162CUSTC199D001, BG2-U01C209B160CUSTC209D001, BG2-U01C333B160CUSTC333D001, Bond-AL00C Bond-AL00CC00B201, Bond-AL10B Bond-AL10BC00B201, Bond-TL10B Bond-TL10BC01B201, Bond-TL10C Bond-TL10CC01B131, Haydn-L1JB HDN-L1JC137B068, Kobe-L09A KOB-L09C100B252CUSTC100D001, KOB-L09C209B002CUSTC209D001, KOB-L09C362B001CUSTC362D001, Kobe-L09AHN KOB-L09C233B226, Kobe-W09C KOB-W09C128B251CUSTC128D001, LelandP-L22C 8.0.0.101(C675CUSTC675D2), LelandP-L22D 8.0.0.101(C675CUSTC675D2), Rhone-AL00 Rhone-AL00C00B186, Selina-L02 Selina-L02C432B153, Stanford-L09S Stanford-L09SC432B183, Toronto-AL00 Toronto-AL00C00B223, Toronto-AL00A Toronto-AL00AC00B223, Toronto-TL10 Toronto-TL10C01B223 have a sensitive information leak vulnerability. An attacker can trick a user to install a malicious application to exploit this vulnerability. Due to insufficient verification of the input, successful exploitation can cause sensitive information leak.
References
Impacted products
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"value": "Some Huawei products Agassi-L09 AGS-L09C100B257CUSTC100D001, AGS-L09C170B253CUSTC170D001, AGS-L09C199B251CUSTC199D001, AGS-L09C229B003CUSTC229D001, Agassi-W09 AGS-W09C100B257CUSTC100D001, AGS-W09C128B252CUSTC128D001, AGS-W09C170B252CUSTC170D001, AGS-W09C229B251CUSTC229D001, AGS-W09C331B003CUSTC331D001, AGS-W09C794B001CUSTC794D001, Baggio2-U01A BG2-U01C100B160CUSTC100D001, BG2-U01C170B160CUSTC170D001, BG2-U01C199B162CUSTC199D001, BG2-U01C209B160CUSTC209D001, BG2-U01C333B160CUSTC333D001, Bond-AL00C Bond-AL00CC00B201, Bond-AL10B Bond-AL10BC00B201, Bond-TL10B Bond-TL10BC01B201, Bond-TL10C Bond-TL10CC01B131, Haydn-L1JB HDN-L1JC137B068, Kobe-L09A KOB-L09C100B252CUSTC100D001, KOB-L09C209B002CUSTC209D001, KOB-L09C362B001CUSTC362D001, Kobe-L09AHN KOB-L09C233B226, Kobe-W09C KOB-W09C128B251CUSTC128D001, LelandP-L22C 8.0.0.101(C675CUSTC675D2), LelandP-L22D 8.0.0.101(C675CUSTC675D2), Rhone-AL00 Rhone-AL00C00B186, Selina-L02 Selina-L02C432B153, Stanford-L09S Stanford-L09SC432B183, Toronto-AL00 Toronto-AL00C00B223, Toronto-AL00A Toronto-AL00AC00B223, Toronto-TL10 Toronto-TL10C01B223 have a sensitive information leak vulnerability. An attacker can trick a user to install a malicious application to exploit this vulnerability. Due to insufficient verification of the input, successful exploitation can cause sensitive information leak."
},
{
"lang": "es",
"value": "Algunos productos Huawei Agassi-L09 AGS-L09C100B257CUSTC100D001, AGS-L09C170B253CUSTC170D001, AGS-L09C199B251CUSTC199D001, AGS-L09C229B003CUSTC229D001, Agassi-W09 AGS-W09C100B257CUSTC100D001, AGS-W09C128B252CUSTC128D001, AGS-W09C170B252CUSTC170D001, AGS-W09C229B251CUSTC229D001, AGS-W09C331B003CUSTC331D001, AGS-W09C794B001CUSTC794D001, Baggio2-U01A BG2-U01C100B160CUSTC100D001, BG2-U01C170B160CUSTC170D001, BG2-U01C199B162CUSTC199D001, BG2-U01C209B160CUSTC209D001, BG2-U01C333B160CUSTC333D001, Bond-AL00C Bond-AL00CC00B201, Bond-AL10B Bond-AL10BC00B201, Bond-TL10B Bond-TL10BC01B201, Bond-TL10C Bond-TL10CC01B131, Haydn-L1JB HDN-L1JC137B068, Kobe-L09A KOB-L09C100B252CUSTC100D001, KOB-L09C209B002CUSTC209D001, KOB-L09C362B001CUSTC362D001, Kobe-L09AHN KOB-L09C233B226, Kobe-W09C KOB-W09C128B251CUSTC128D001, LelandP-L22C 8.0.0.101(C675CUSTC675D2), LelandP-L22D 8.0.0.101(C675CUSTC675D2), Rhone-AL00 Rhone-AL00C00B186, Selina-L02 Selina-L02C432B153, Stanford-L09S Stanford-L09SC432B183, Toronto-AL00 Toronto-AL00C00B223, Toronto-AL00A Toronto-AL00AC00B223 y Toronto-TL10 Toronto-TL10C01B223 tienen una vulnerabilidad de filtrado de informaci\u00f3n sensible. Un atacante puede enga\u00f1ar a un usuario para que instale una aplicaci\u00f3n maliciosa para explotar esta vulnerabilidad. Debido a la verificaci\u00f3n insuficiente de las entradas, su explotaci\u00f3n exitosa puede provocar un filtrado de informaci\u00f3n sensible."
}
],
"id": "CVE-2018-7907",
"lastModified": "2026-06-17T02:03:56.283",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV30": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2018-09-26T13:29:00.527",
"references": [
{
"source": "psirt@huawei.com",
"tags": [
"Vendor Advisory"
],
"url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180919-02-smartphone-en"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "http://www.huawei.com/en/psirt/security-advisories/huawei-sa-20180919-02-smartphone-en"
}
],
"sourceIdentifier": "psirt@huawei.com",
"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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