Underbit MAD libmad 0.15.1b layer3.c mad_layer_III memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.4 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Underbit MAD libmad 0.15.1b. Affected by this vulnerability is the function mad_layer_III of the file layer3.c. This manipulation causes memory corruption.
This vulnerability is handled as CVE-2017-8373. It is possible to launch the attack on the local host. There is not any exploit available.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in Underbit MAD libmad 0.15.1b. It has been declared as critical. Affected by this vulnerability is the function mad_layer_III of the file layer3.c. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
The mad_layer_III function in layer3.c in Underbit MAD libmad 0.15.1b allows remote attackers to cause a denial of service (heap-based buffer overflow and application crash) or possibly have unspecified other impact via a crafted audio file.
The bug was discovered 04/30/2017. The weakness was released 05/01/2017 (Website). It is possible to read the advisory at blogs.gentoo.org. This vulnerability is known as CVE-2017-8373 since 04/30/2017. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 109587 (Debian DSA-4192-1 : libmad - security update), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Debian Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 277574 (Fedora Security Update for libmadb (FEDORA-2018-4f9f4d26f0)).
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 vulnerability database at Tenable (109587). Entries connected to this vulnerability are available at VDB-100770, VDB-100772, VDB-104724 and VDB-113632. 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: 6.5VulDB 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: 🔍
CVSSv2
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Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 109587
Nessus Name: Debian DSA-4192-1 : libmad - security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 58334
OpenVAS Name: Debian Security Advisory DSA 4192-1 (libmad - security update)
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
04/30/2017 🔍04/30/2017 🔍
04/30/2017 🔍
05/01/2017 🔍
05/01/2017 🔍
05/04/2018 🔍
05/07/2018 🔍
12/02/2022 🔍
Sources
Advisory: DLA 1380-1Status: Confirmed
CVE: CVE-2017-8373 (🔍)
GCVE (CVE): GCVE-0-2017-8373
GCVE (VulDB): GCVE-100-100771
OVAL: 🔍
OSVDB: - CVE-2017-8373 - Underbit - Mad Libmad - Medium
See also: 🔍
Entry
Created: 05/01/2017 10:53Updated: 12/02/2022 16:29
Changes: 05/01/2017 10:53 (73), 09/22/2020 16:51 (4), 12/02/2022 16:29 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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