libming 0.4.7 listswf parser.c parseSWF_RGBA SWF File memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.7 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in libming 0.4.7. The affected element is the function parseSWF_RGBA of the file parser.c of the component listswf. Performing a manipulation as part of SWF File results in memory corruption.
This vulnerability is cataloged as CVE-2016-9831. It is possible to initiate the attack remotely. There is no exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in libming 0.4.7 (Programming Tool Software). This affects the function parseSWF_RGBA of the file parser.c of the component listswf. The manipulation as part of a SWF File 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:
Heap-based buffer overflow in the parseSWF_RGBA function in parser.c in the listswf tool in libming 0.4.7 allows remote attackers to have unspecified impact via a crafted SWF file.
The bug was discovered 02/16/2017. The weakness was shared 02/17/2017 by Agostino Sarubbo with Gentoo (oss-sec). It is possible to read the advisory at openwall.com. This vulnerability is uniquely identified as CVE-2016-9831 since 12/04/2016. 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 96814 (Debian DLA-799-1 : ming 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 276588 (Fedora Security Update for ming (FEDORA-2017-d43d46f1ca)).
Upgrading eliminates this vulnerability. A possible mitigation has been published even before and not after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (96814) and SecurityFocus (BID 94767†). The entries VDB-97056, VDB-97057, VDB-97058 and VDB-98445 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.1VulDB Meta Temp Score: 7.9
VulDB Base Score: 8.3
VulDB Temp Score: 7.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
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: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 96814
Nessus Name: Debian DLA-799-1 : ming security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 867773
OpenVAS Name: Fedora Update for ming FEDORA-2017-ed6b6a1d7a
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
12/01/2016 🔍12/04/2016 🔍
01/26/2017 🔍
01/27/2017 🔍
02/16/2017 🔍
02/16/2017 🔍
02/17/2017 🔍
02/17/2017 🔍
08/15/2020 🔍
Sources
Advisory: openwall.comResearcher: Agostino Sarubbo
Organization: Gentoo
Status: Not defined
CVE: CVE-2016-9831 (🔍)
GCVE (CVE): GCVE-0-2016-9831
GCVE (VulDB): GCVE-100-97059
SecurityFocus: 94767 - libming 'parser.c' Heap Buffer Overflow Vulnerability
OSVDB: - CVE-2016-9831 - libming - Buffer Overflow Issue
See also: 🔍
Entry
Created: 02/17/2017 11:46Updated: 08/15/2020 12:56
Changes: 02/17/2017 11:46 (74), 08/15/2020 12:56 (8)
Complete: 🔍
Cache ID: 216:279:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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