FKIE_CVE-2016-10458
Vulnerability from fkie_nvd - Published: 2018-04-18 14:29 - Updated: 2026-06-17 00:39
Severity
Summary
In Android before 2018-04-05 or earlier security patch level on Qualcomm Snapdragon Mobile SD 210/SD 212/SD 205, SD 410/12, SD 425, SD 427, SD 430, SD 435, SD 450, SD 615/16/SD 415, SD 617, SD 625, SD 650/52, SD 808, SD 810, SD 820, SD 835, SD 845, SDM630, SDM636, SDM660, SDX20, and Snapdragon_High_Med_2016, the 'proper' solution for this will be to ensure that any users of qsee_log in the bootchain (before Linux boots) unallocate their buffers and clear the qsee_log pointer. Until support for that is implemented in TZ and the bootloader, enable tz_log to avoid potential scribbling. This solution will prevent the linux kernel memory corruption.
References
| URL | Tags | ||
|---|---|---|---|
| product-security@qualcomm.com | http://www.securityfocus.com/bid/103671 | Third Party Advisory, VDB Entry | |
| product-security@qualcomm.com | https://source.android.com/security/bulletin/2018-04-01 | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.securityfocus.com/bid/103671 | Third Party Advisory, VDB Entry | |
| af854a3a-2127-422b-91ae-364da2661108 | https://source.android.com/security/bulletin/2018-04-01 | Vendor Advisory |
Impacted products
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"lastModified": "2026-06-17T00:39:43.487",
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},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory",
"VDB Entry"
],
"url": "http://www.securityfocus.com/bid/103671"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://source.android.com/security/bulletin/2018-04-01"
}
],
"sourceIdentifier": "product-security@qualcomm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"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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