| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in FFmpeg up to 2.7.1. This issue affects the function destroy_buffers of the file libavcodec/sanm.c. This manipulation causes denial of service.
This vulnerability is tracked as CVE-2015-6822. No exploit exists.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in FFmpeg up to 2.7.1 (Multimedia Processing Software). It has been declared as problematic. Affected by this vulnerability is the function destroy_buffers of the file libavcodec/sanm.c. The manipulation with an unknown input leads to a code vulnerability. The CWE definition for the vulnerability is CWE-17. As an impact it is known to affect availability. The summary by CVE is:
The destroy_buffers function in libavcodec/sanm.c in FFmpeg before 2.7.2 does not properly maintain height and width values in the video context, which allows remote attackers to cause a denial of service (segmentation violation and application crash) or possibly have unspecified other impact via crafted LucasArts Smush video data.
The weakness was disclosed 09/06/2015 (Website). It is possible to read the advisory at git.videolan.org. This vulnerability is known as CVE-2015-6822 since 09/05/2015. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 86044 (FreeBSD : ffmpeg -- multiple vulnerabilities (3d950687-b4c9-4a86-8478-c56743547af8)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family FreeBSD Local Security Checks. The commercial vulnerability scanner Qualys is able to test this issue with plugin 176785 (Debian Security Update for libav (DLA 1611-2)).
Upgrading to version 2.7.2 eliminates this vulnerability.
The vulnerability is also documented in the databases at Tenable (86044), SecurityFocus (BID 77073†) and Vulnerability Center (SBV-53326†). The entries VDB-73166, VDB-77583, VDB-77584 and VDB-77585 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
Website
- Product: https://ffmpeg.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: CodeCWE: CWE-17
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: 86044
Nessus Name: FreeBSD : ffmpeg -- multiple vulnerabilities (3d950687-b4c9-4a86-8478-c56743547af8)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
OpenVAS ID: 12024
OpenVAS Name: Mageia Linux Local Check: mgasa-2016-0018
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Upgrade: FFmpeg 2.7.2
Patch: 39bbdebb1ed8eb9c9b0cd6db85afde6ba89d86e4
Timeline
09/05/2015 🔍09/05/2015 🔍
09/05/2015 🔍
09/06/2015 🔍
09/07/2015 🔍
10/09/2015 🔍
06/14/2022 🔍
Sources
Product: ffmpeg.orgAdvisory: DLA 1611-1
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2015-6822 (🔍)
GCVE (CVE): GCVE-0-2015-6822
GCVE (VulDB): GCVE-100-77587
SecurityFocus: 77073
SecurityTracker: 1033483
Vulnerability Center: 53326 - FFmpeg before 2.7.2 Remote DoS or Unspecified Other Impact in destroy_buffers() via Crafted LucasArts Smush video Data, High
See also: 🔍
Entry
Created: 09/07/2015 10:12Updated: 06/14/2022 10:59
Changes: 09/07/2015 10:12 (56), 02/04/2018 10:30 (12), 06/14/2022 10:54 (6), 06/14/2022 10:59 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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