LibTIFF up to 4.0.6 bmp2tiff tif_dumpmode.c DumpModeEncode BMP Image out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in LibTIFF up to 4.0.6 and classified as problematic. Impacted is the function DumpModeEncode of the file tif_dumpmode.c of the component bmp2tiff. Such manipulation as part of BMP Image leads to out-of-bounds.
This vulnerability is documented as CVE-2016-3619. The attack can be executed remotely. There is not any exploit available.
It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, has been found in LibTIFF up to 4.0.6 (Image Processing Software). Affected by this issue is the function DumpModeEncode of the file tif_dumpmode.c of the component bmp2tiff. The manipulation as part of a BMP Image leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is availability. CVE summarizes:
The DumpModeEncode function in tif_dumpmode.c in the bmp2tiff tool in LibTIFF 4.0.6 and earlier, when the "-c none" option is used, allows remote attackers to cause a denial of service (buffer over-read) via a crafted BMP image.
The weakness was released 10/03/2016 by Security Team with Qihoo 360 (Website). The advisory is available at bugzilla.maptools.org. This vulnerability is handled as CVE-2016-3619 since 03/21/2016. The attack may be launched remotely. No form of authentication is required for exploitation. Successful exploitation requires user interaction by the victim. Technical details are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 94474 (Debian DLA-693-2 : tiff regression 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 171720 (SUSE Enterprise Linux Security Update for tiff (SUSE-SU-2018:3879-1)).
Upgrading eliminates this vulnerability. A possible mitigation has been published 5 months after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (94474) and SecurityFocus (BID 85919†). Entries connected to this vulnerability are available at VDB-81883, VDB-81884, VDB-81886 and VDB-92310. If you want to get best quality of vulnerability data, you may have to visit VulDB.
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: 6.5VulDB Meta Temp Score: 6.3
VulDB Base Score: 6.5
VulDB Temp Score: 6.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
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VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / 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: 94474
Nessus Name: Debian DLA-693-2 : tiff regression update
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 801105
OpenVAS Name: Apple Mac OS X Multiple Vulnerabilities-HT207615
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
03/21/2016 🔍04/07/2016 🔍
10/03/2016 🔍
10/03/2016 🔍
10/04/2016 🔍
11/03/2016 🔍
02/07/2017 🔍
09/21/2022 🔍
Sources
Product: libtiff.orgAdvisory: bugzilla.maptools.org
Researcher: Security Team
Organization: Qihoo 360
Status: Confirmed
CVE: CVE-2016-3619 (🔍)
GCVE (CVE): GCVE-0-2016-3619
GCVE (VulDB): GCVE-100-92306
SecurityFocus: 85919 - LibTIFF CVE-2016-3619 Out Of Bounds Read Denial of Service Vulnerability
SecurityTracker: 1035508
See also: 🔍
Entry
Created: 10/04/2016 10:28Updated: 09/21/2022 17:20
Changes: 10/04/2016 10:28 (62), 04/30/2019 14:10 (20), 09/21/2022 17:20 (4)
Complete: 🔍
Cache ID: 216:5E8:103
If you want to get best quality of vulnerability data, you may have to visit VulDB.
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