FFmpeg 0.3.1 g2m_init_buffers numeric error

CVSS Meta Temp Score
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CTI Interest Score
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7.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in FFmpeg 0.3.1 and classified as problematic. Affected is the function g2m_init_buffers. Performing a manipulation results in numeric error. This vulnerability is identified as CVE-2013-7013. There is not any exploit available.

Detailsinfo

A vulnerability classified as critical has been found in FFmpeg 0.3.1 (Multimedia Processing Software). This affects the function g2m_init_buffers. The manipulation with an unknown input leads to a numeric error vulnerability. CWE is classifying the issue as CWE-189. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

The g2m_init_buffers function in libavcodec/g2meet.c in FFmpeg before 2.1 uses an incorrect ordering of arithmetic operations, which allows remote attackers to cause a denial of service (out-of-bounds array access) or possibly have unspecified other impact via crafted Go2Webinar data.

The weakness was released 12/09/2013 by Piotr Bandurski (ami_stuff) (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2013-7013 since 12/08/2013. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability scanner Nessus provides a plugin with the ID 89899 (GLSA-201603-06 : FFmpeg: Multiple vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Gentoo Local Security Checks.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the databases at X-Force (89447), Tenable (89899), SecurityFocus (BID 63936†) and Vulnerability Center (SBV-43277†). Entries connected to this vulnerability are available at VDB-5510, VDB-7624, VDB-7625 and VDB-7628. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Numeric error
CWE: CWE-189
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 89899
Nessus Name: GLSA-201603-06 : FFmpeg: Multiple vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Patch: github.com

Timelineinfo

11/26/2013 🔍
11/26/2013 +0 days 🔍
12/08/2013 +12 days 🔍
12/09/2013 +1 days 🔍
12/09/2013 +0 days 🔍
02/17/2014 +70 days 🔍
03/24/2015 +400 days 🔍
01/11/2022 +2485 days 🔍

Sourcesinfo

Product: ffmpeg.org

Advisory: 821a5938d100458f4d09d634041b05c860554ce0
Researcher: Piotr Bandurski (ami_stuff)
Status: Not defined
Confirmation: 🔍

CVE: CVE-2013-7013 (🔍)
GCVE (CVE): GCVE-0-2013-7013
GCVE (VulDB): GCVE-100-65691
X-Force: 89447
SecurityFocus: 63936 - FFmpeg Prior to 2.1 Multiple Remote Vulnerabilities
Vulnerability Center: 43277 - FFmpeg <2.1 Remote DoS and Other Impact Vulnerability Due to Out of Bounds Memory Access in g2m_init_buffers(), High

See also: 🔍

Entryinfo

Created: 03/24/2015 15:54
Updated: 01/11/2022 12:53
Changes: 03/24/2015 15:54 (55), 05/21/2017 13:56 (10), 01/11/2022 12:46 (4), 01/11/2022 12:53 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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