VAR-201608-0158
Vulnerability from variot - Updated: 2023-12-18 11:38The kernel in Android before 2016-08-05 on Nexus 7 (2013) devices allows attackers to gain privileges via a crafted application, aka internal bug 28522518. Nexus 7 (2013) Run on device Android Kernel contains a privileged vulnerability. Google Nexus is prone to a privilege-escalation vulnerability. Attackers can exploit these issues to execute arbitrary code with elevated privileges within the context of the kernel. Google Nexus versions Nexus 7 (2013) is vulnerable. This issue is being tracked by Android Bug ID A-28522518. ========================================================================== Ubuntu Security Notice USN-3082-2 September 19, 2016
linux-ti-omap4 vulnerability
A security issue affects these releases of Ubuntu and its derivatives:
- Ubuntu 12.04 LTS
Summary:
The system could be made to run programs as an administrator.
Software Description: - linux-ti-omap4: Linux kernel for OMAP4
Details:
Chiachih Wu, Yuan-Tsung Lo, and Xuxian Jiang discovered that the legacy ABI for ARM (OABI) had incomplete access checks for epoll_wait(2) and semtimedop(2).
Update instructions:
The problem can be corrected by updating your system to the following package versions:
Ubuntu 12.04 LTS: linux-image-3.2.0-1488-omap4 3.2.0-1488.115
After a standard system update you need to reboot your computer to make all the necessary changes.
ATTENTION: Due to an unavoidable ABI change the kernel updates have been given a new version number, which requires you to recompile and reinstall all third party kernel modules you might have installed. Unless you manually uninstalled the standard kernel metapackages (e.g. linux-generic, linux-generic-lts-RELEASE, linux-virtual, linux-powerpc), a standard system upgrade will automatically perform this as well.
References: http://www.ubuntu.com/usn/usn-3082-2 http://www.ubuntu.com/usn/usn-3082-1 CVE-2016-3857
Package Information: https://launchpad.net/ubuntu/+source/linux-ti-omap4/3.2.0-1488.115
Show details on source website{
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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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