LibTIFF 4.0.6 TIFF Image tif_getimage.c SamplesPerPixel memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in LibTIFF 4.0.6. This affects an unknown part of the file tif_getimage.c of the component TIFF Image Handler. This manipulation of the argument SamplesPerPixel causes memory corruption. This vulnerability is registered as CVE-2015-8665. The attack needs to be launched locally. No exploit is available. You should upgrade the affected component.
Details
A vulnerability classified as problematic was found in LibTIFF 4.0.6 (Image Processing Software). Affected by this vulnerability is some unknown functionality of the file tif_getimage.c of the component TIFF Image Handler. The manipulation of the argument SamplesPerPixel 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 availability. The summary by CVE is:
tif_getimage.c in LibTIFF 4.0.6 allows remote attackers to cause a denial of service (out-of-bounds read) via the SamplesPerPixel tag in a TIFF image.
The weakness was published 04/13/2016 with Qihoo 360 (Website). It is possible to read the advisory at openwall.com. This vulnerability is known as CVE-2015-8665 since 12/23/2015. 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 88387 (Debian DLA-402-1 : tiff 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 296002 (Solaris 11.3 Support Repository Update (SRU) 9.4.0 Missing).
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 (88387) and SecurityFocus (BID 79728†). Similar entries are available at VDB-9747, VDB-61154, VDB-74783 and VDB-78889. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
Website
- Product: http://www.libtiff.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.5VulDB Meta Temp Score: 5.4
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
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: 🔍
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Current Price Estimation: 🔍
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Nessus ID: 88387
Nessus Name: Debian DLA-402-1 : tiff security update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 703467
OpenVAS Name: Debian Security Advisory DSA 3467-1 (tiff - security update)
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
12/22/2015 🔍12/23/2015 🔍
01/25/2016 🔍
01/26/2016 🔍
04/13/2016 🔍
04/13/2016 🔍
04/14/2016 🔍
07/24/2022 🔍
Sources
Product: libtiff.orgAdvisory: USN-2939-1
Organization: Qihoo 360
Status: Not defined
Confirmation: 🔍
CVE: CVE-2015-8665 (🔍)
GCVE (CVE): GCVE-0-2015-8665
GCVE (VulDB): GCVE-100-82315
SecurityFocus: 79728 - LibTIFF CVE-2015-8665 Out Of Bounds Read Denial of Service Vulnerability
SecurityTracker: 1035508
See also: 🔍
Entry
Created: 04/14/2016 09:56Updated: 07/24/2022 09:55
Changes: 04/14/2016 09:56 (54), 10/05/2018 07:52 (25), 07/24/2022 09:50 (5), 07/24/2022 09:55 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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