Xiph.Org libao 1.2.0 MP3 File audio_out.c tokenize_matrix memory corruption
| 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 Xiph.Org libao 1.2.0. This issue affects the function tokenize_matrix of the file audio_out.c of the component MP3 File Handler. Performing a manipulation results in memory corruption.
This vulnerability is identified as CVE-2017-11548. The attack is only possible with local access. Additionally, an exploit exists.
It is recommended to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in Xiph.Org libao 1.2.0. This affects the function tokenize_matrix of the file audio_out.c of the component MP3 File Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
The _tokenize_matrix function in audio_out.c in Xiph.Org libao 1.2.0 allows remote attackers to cause a denial of service (memory corruption) via a crafted MP3 file.
The bug was discovered 07/30/2017. The weakness was released 07/31/2017 (Website). It is possible to read the advisory at seclists.org. This vulnerability is uniquely identified as CVE-2017-11548 since 07/22/2017. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known.
The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k. The vulnerability scanner Nessus provides a plugin with the ID 120571 (Fedora 28 : libao (2018-816b63ad38)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Fedora Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 277487 (Fedora Security Update for libao (FEDORA-2018-816b63ad38)).
Upgrading eliminates this vulnerability. A possible mitigation has been published 2 years after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Exploit-DB (42400) and Tenable (120571). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 120571
Nessus Name: Fedora 28 : libao (2018-816b63ad38)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
07/22/2017 🔍07/30/2017 🔍
07/31/2017 🔍
07/31/2017 🔍
08/01/2017 🔍
08/04/2018 🔍
01/03/2019 🔍
12/08/2024 🔍
Sources
Advisory: FEDORA-2018-816b63ad38Status: Confirmed
CVE: CVE-2017-11548 (🔍)
GCVE (CVE): GCVE-0-2017-11548
GCVE (VulDB): GCVE-100-104691
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 08/01/2017 08:54Updated: 12/08/2024 06:16
Changes: 08/01/2017 08:54 (69), 11/02/2019 16:48 (10), 12/14/2022 14:13 (4), 12/08/2024 06:16 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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