| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in LibTIFF 3.9.0 and classified as problematic. This impacts the function TIFFRGBAImageGet. Performing a manipulation results in memory corruption.
This vulnerability is identified as CVE-2010-2483. There is not any exploit available.
Details
A vulnerability, which was classified as problematic, was found in LibTIFF 3.9.0 (Image Processing Software). This affects the function TIFFRGBAImageGet. 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 availability. The summary by CVE is:
The TIFFRGBAImageGet function in LibTIFF 3.9.0 allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a TIFF file with an invalid combination of SamplesPerPixel and Photometric values.
The weakness was released 07/06/2010 by Dan Rosenberg with CERT-FI as Bug 603081 as not defined bug report (Bugzilla). It is possible to read the advisory at bugzilla.redhat.com. This vulnerability is uniquely identified as CVE-2010-2483. 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 47738 (CentOS 4 / 5 : libtiff (CESA-2010:0519)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family CentOS Local Security Checks. The commercial vulnerability scanner Qualys is able to test this issue with plugin 118175 (LibTIFF Multiple Remote Denial of Service Vulnerabilities).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at Tenable (47738), SecurityFocus (BID 41088†) and Vulnerability Center (SBV-26530†). Entries connected to this vulnerability are available at VDB-53894, VDB-53898, VDB-53930 and VDB-53929. 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: 5.3VulDB Meta Temp Score: 5.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
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: 47738
Nessus Name: CentOS 4 / 5 : libtiff (CESA-2010:0519)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
OpenVAS ID: 880583
OpenVAS Name: CentOS Update for libtiff CESA-2010:0519 centos5 i386
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
06/23/2010 🔍06/23/2010 🔍
06/28/2010 🔍
07/06/2010 🔍
07/06/2010 🔍
07/26/2010 🔍
03/19/2015 🔍
09/20/2021 🔍
Sources
Product: libtiff.orgAdvisory: Bug 603081
Researcher: Dan Rosenberg
Organization: CERT-FI
Status: Not defined
Confirmation: 🔍
CVE: CVE-2010-2483 (🔍)
GCVE (CVE): GCVE-0-2010-2483
GCVE (VulDB): GCVE-100-53931
OVAL: 🔍
SecurityFocus: 41088 - LibTIFF Multiple Remote Code Execution Vulnerabilities
Secunia: 40422
Vulnerability Center: 26530 - LibTIFF 3.9 TIFFRGBAImageGet Function Remote DoS Vulnerability via a Crafted TIFF File, Medium
See also: 🔍
Entry
Created: 03/19/2015 14:37Updated: 09/20/2021 08:41
Changes: 03/19/2015 14:37 (60), 03/01/2017 10:06 (11), 09/20/2021 08:38 (5), 09/20/2021 08:41 (1)
Complete: 🔍
Cache ID: 216:DE9:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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