imlib2 up to 1.4.8 lib/updates.c __imlib_MergeUpdate memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in imlib2 up to 1.4.8. This issue affects the function __imlib_MergeUpdate of the file lib/updates.c. Performing a manipulation results in memory corruption.
This vulnerability is cataloged as CVE-2016-3993. It is possible to initiate the attack remotely. There is no exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability classified as critical has been found in imlib2 up to 1.4.8. This affects the function __imlib_MergeUpdate of the file lib/updates.c. 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:
Off-by-one error in the __imlib_MergeUpdate function in lib/updates.c in imlib2 before 1.4.9 allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via crafted coordinates.
The weakness was shared 05/13/2016 (Website). It is possible to read the advisory at sourceforge.net. This vulnerability is uniquely identified as CVE-2016-3993 since 04/10/2016. The exploitability is told to be easy. 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 90687 (Debian DSA-3555-1 : imlib2 - 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 168859 (OpenSuSE Security Update for imlib2 (openSUSE-SU-2016:1330-1)).
Upgrading to version 1.4.9 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 vulnerability database at Tenable (90687). The entries VDB-87358, VDB-87360, VDB-87363 and VDB-87400 are related to this item. Be aware that VulDB is the high quality source for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.7VulDB Meta Temp Score: 8.5
VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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: 90687
Nessus Name: Debian DSA-3555-1 : imlib2 - security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 867269
OpenVAS Name: Mageia Linux Local Check: mgasa-2016-0140
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: imlib2 1.4.9
Patch: git.enlightenment.org
Timeline
04/10/2016 🔍04/23/2016 🔍
04/25/2016 🔍
05/13/2016 🔍
05/13/2016 🔍
05/16/2016 🔍
08/19/2022 🔍
Sources
Advisory: sourceforge.netStatus: Not defined
Confirmation: 🔍
CVE: CVE-2016-3993 (🔍)
GCVE (CVE): GCVE-0-2016-3993
GCVE (VulDB): GCVE-100-87399
OVAL: 🔍
See also: 🔍
Entry
Created: 05/16/2016 09:41Updated: 08/19/2022 13:42
Changes: 05/16/2016 09:41 (63), 11/26/2018 10:11 (11), 08/19/2022 13:42 (4)
Complete: 🔍
Cache ID: 216:5C0:103
Be aware that VulDB is the high quality source for vulnerability data.
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