VDB-128212 · CVE-2018-11963 · BID 106136

Google Android Camera JPEG Driver out-of-bounds

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.3$0-$5k0.00

Summaryinfo

A vulnerability classified as critical was found in Google Android. The impacted element is an unknown function of the component Camera JPEG Driver. Executing a manipulation can lead to out-of-bounds. This vulnerability is tracked as CVE-2018-11963. The attack is restricted to local execution. No exploit exists. It is advisable to implement a patch to correct this issue.

Detailsinfo

A vulnerability was found in Google Android (Smartphone Operating System) (version unknown). It has been declared as critical. This vulnerability affects an unknown function of the component Camera JPEG Driver. The manipulation with an unknown input leads to a out-of-bounds vulnerability. The CWE definition for the vulnerability is CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

In all android releases(Android for MSM, Firefox OS for MSM, QRD Android) from CAF using the linux kernel, Buffer overread may occur due to non-null terminated strings while processing vsprintf in camera jpeg driver.

The bug was discovered 12/03/2018. The weakness was disclosed 12/20/2018 (Website). The advisory is shared for download at codeaurora.org. This vulnerability was named CVE-2018-11963 since 06/07/2018. The exploitation appears to be easy. The attack needs to be approached locally. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available.

The vulnerability was handled as a non-public zero-day exploit for at least 17 days. During that time the estimated underground price was around $25k-$100k.

Applying a patch is able to eliminate this problem.

The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 106136†). The entries VDB-128141, VDB-128210, VDB-128211 and VDB-128213 are pretty similar. Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍

Timelineinfo

06/07/2018 🔍
12/03/2018 +179 days 🔍
12/03/2018 +0 days 🔍
12/20/2018 +17 days 🔍
12/20/2018 +0 days 🔍
12/21/2018 +1 days 🔍
04/22/2020 +488 days 🔍

Sourcesinfo

Vendor: google.com

Advisory: codeaurora.org
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-11963 (🔍)
GCVE (CVE): GCVE-0-2018-11963
GCVE (VulDB): GCVE-100-128212
SecurityFocus: 106136 - Google Android Qualcomm Component Multiple Unspecified Vulnerabilities

scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍

Entryinfo

Created: 12/21/2018 11:55
Updated: 04/22/2020 17:00
Changes: 12/21/2018 11:55 (61), 04/22/2020 17:00 (4)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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