LibTIFF 3.9.0 File Processing input validation

CVSS Meta Temp Score
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CTI Interest Score
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4.8$0-$5k0.00

Summaryinfo

A vulnerability was found in LibTIFF 3.9.0. It has been classified as problematic. This vulnerability affects unknown code of the component File Processing. This manipulation causes input validation. This vulnerability is tracked as CVE-2010-2631. Moreover, an exploit is present. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as problematic was found in LibTIFF 3.9.0 (Image Processing Software). Affected by this vulnerability is an unknown code block of the component File Processing. The manipulation with an unknown input leads to a input validation vulnerability. The CWE definition for the vulnerability is CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. As an impact it is known to affect availability. The summary by CVE is:

LibTIFF 3.9.0 ignores tags in certain situations during the first stage of TIFF file processing and does not properly handle this during the second stage, which allows remote attackers to cause a denial of service (application crash) via a crafted file, a different vulnerability than CVE-2010-2481.

The weakness was disclosed 07/06/2010 as Bug 2210 as not defined bug report (Bugzilla). It is possible to read the advisory at bugzilla.maptools.org. This vulnerability is known as CVE-2010-2631 since 07/06/2010. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are unknown but a public exploit is available.

It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 62235 (GLSA-201209-02 : libTIFF: Multiple vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Gentoo Local Security Checks and running in the context l.

Upgrading eliminates this vulnerability. A possible mitigation has been published 3 years after the disclosure of the vulnerability.

The vulnerability is also documented in the databases at Exploit-DB (34279), Tenable (62235) and Secunia (SA50726†). The entries VDB-53806, VDB-53946 and VDB-53929 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 4.8

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
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Exploitinginfo

Class: Input validation
CWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 62235
Nessus Name: GLSA-201209-02 : libTIFF: Multiple vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍

OpenVAS ID: 72419
OpenVAS Name: Gentoo Security Advisory GLSA 201209-02 (tiff)
OpenVAS File: 🔍
OpenVAS Family: 🔍

Exploit-DB: 🔍

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍

Timelineinfo

07/06/2010 🔍
07/06/2010 +0 days 🔍
07/06/2010 +0 days 🔍
09/23/2012 +810 days 🔍
09/24/2012 +1 days 🔍
03/19/2015 +906 days 🔍
10/20/2024 +3503 days 🔍

Sourcesinfo

Product: libtiff.org

Advisory: Bug 2210
Status: Not defined
Confirmation: 🔍

CVE: CVE-2010-2631 (🔍)
GCVE (CVE): GCVE-0-2010-2631
GCVE (VulDB): GCVE-100-53947
Secunia: 50726

scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 03/19/2015 14:37
Updated: 10/20/2024 03:22
Changes: 03/19/2015 14:37 (64), 02/06/2019 16:23 (2), 10/20/2024 03:22 (25)
Complete: 🔍
Cache ID: 216:34B:103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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