FFmpeg up to 1.2 libavcodec/mimic.c mimic_decode_update_thread_context race condition
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in FFmpeg up to 1.2. The affected element is the function mimic_decode_update_thread_context of the file libavcodec/mimic.c. Performing a manipulation results in race condition.
No exploit exists.
Applying a patch is the recommended action to fix this issue.
Details
A vulnerability classified as critical has been found in FFmpeg up to 1.2 (Multimedia Processing Software). This affects the function mimic_decode_update_thread_context of the file libavcodec/mimic.c. The manipulation with an unknown input leads to a race condition vulnerability. CWE is classifying the issue as CWE-362. The product contains a code sequence that can run concurrently with other code, and the code sequence requires temporary, exclusive access to a shared resource, but a timing window exists in which the shared resource can be modified by another code sequence that is operating concurrently. The impact remains unknown.
The weakness was disclosed 05/10/2013 by Mateusz Jurczyk and Gynvael Coldwind with Google Security Team as confirmed git commit (GIT Repository). The advisory is shared at git.videolan.org. The public release has been coordinated in cooperation with the project team. Technical details are known, but no exploit is available.
Applying a patch is able to eliminate this problem. The bugfix is ready for download at git.videolan.org. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at OSVDB (95048†). The entries VDB-9476, VDB-9475, VDB-9474 and VDB-9473 are pretty similar. If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Affected
- FFmpeg
- Libav
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: 🔍
Exploiting
Class: Race conditionCWE: CWE-362
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Patch: git.videolan.org
Timeline
05/10/2013 🔍05/10/2013 🔍
07/12/2013 🔍
05/07/2018 🔍
Sources
Product: ffmpeg.orgAdvisory: git.videolan.org
Researcher: Mateusz Jurczyk, Gynvael Coldwind
Organization: Google Security Team
Status: Confirmed
Coordinated: 🔍
GCVE (VulDB): GCVE-100-9477
OSVDB: 95048
See also: 🔍
Entry
Created: 07/12/2013 12:56Updated: 05/07/2018 09:02
Changes: 07/12/2013 12:56 (48), 05/07/2018 09:02 (2)
Complete: 🔍
Committer:
Cache ID: 216:09C:103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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