FKIE_CVE-2013-2596
Vulnerability from fkie_nvd - Published: 2013-04-13 02:59 - Updated: 2026-06-16 23:53
Severity
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/
Summary
Integer overflow in the fb_mmap function in drivers/video/fbmem.c in the Linux kernel before 3.8.9, as used in a certain Motorola build of Android 4.1.2 and other products, allows local users to create a read-write memory mapping for the entirety of kernel memory, and consequently gain privileges, via crafted /dev/graphics/fb0 mmap2 system calls, as demonstrated by the Motochopper pwn program.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| motorola | android | 4.1.2 | |
| motorola | atrix_hd | - | |
| motorola | razr_hd | - | |
| motorola | razr_m | - | |
| qualcomm | msm8960 | - |
{
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{
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"vendor": "n/a",
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"version": "n/a"
}
]
}
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"source": "cve@mitre.org"
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"cisaActionDue": "2022-10-06",
"cisaExploitAdd": "2022-09-15",
"cisaRequiredAction": "Apply updates per vendor instructions.",
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"value": "Integer overflow in the fb_mmap function in drivers/video/fbmem.c in the Linux kernel before 3.8.9, as used in a certain Motorola build of Android 4.1.2 and other products, allows local users to create a read-write memory mapping for the entirety of kernel memory, and consequently gain privileges, via crafted /dev/graphics/fb0 mmap2 system calls, as demonstrated by the Motochopper pwn program."
},
{
"lang": "es",
"value": "Una determinada version de Android v4.1.2 en dispositivos Motorola Razr HD, Razr M, y Atrix HD con el chipset Qualcomm MSM8960 permite a atacantes f\u00edsicamente pr\u00f3ximos obtener acceso de root entrando en el modo de depuraci\u00f3n USB, usando Android Debug Bridge (ADB) para establecer una conexi\u00f3n USB, y cargar y ejecutar el programa pwn Motochopper."
}
],
"id": "CVE-2013-2596",
"lastModified": "2026-06-16T23:53:41.450",
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"role": "CISA Coordinator",
"timestamp": "2025-05-01T03:55:10.585625Z",
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"published": "2013-04-13T02:59:46.627",
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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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