CVE-2010-2481
LibTIFF Denial of Service Vulnerability
Description
The TIFFExtractData macro in LibTIFF before 3.9.4 does not properly handle unknown tag types in TIFF directory entries, which allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a crafted TIFF file.
INFO
Published Date :
July 6, 2010, 5:17 p.m.
Last Modified :
Feb. 13, 2023, 4:21 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.9
Exploitability Score :
8.6
Public PoC/Exploit Available at Github
CVE-2010-2481 has a 2 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2010-2481.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
None
C Perl 6 Perl ASP HTML Rich Text Format Visual Basic TeX Assembly Shell
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Shell C Perl PHP TeX Python Assembly Makefile HTML XSLT
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2010-2481 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2010-2481 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Feb. 13, 2023
Action Type Old Value New Value Changed Description CVE-2010-2481 libtiff: TIFFExtractData out-of-bounds read crash The TIFFExtractData macro in LibTIFF before 3.9.4 does not properly handle unknown tag types in TIFF directory entries, which allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a crafted TIFF file. Removed CVSS V2 Metadata Victim must voluntarily interact with attack mechanism Removed CVSS V2 Red Hat, Inc. (AV:N/AC:M/Au:N/C:N/I:N/A:P) Removed Reference https://access.redhat.com/errata/RHSA-2010:0519 [No Types Assigned] Removed Reference https://access.redhat.com/security/cve/CVE-2010-2481 [No Types Assigned] Removed Reference https://bugzilla.redhat.com/show_bug.cgi?id=611895 [No Types Assigned] -
CVE Modified by [email protected]
Feb. 02, 2023
Action Type Old Value New Value Changed Description The TIFFExtractData macro in LibTIFF before 3.9.4 does not properly handle unknown tag types in TIFF directory entries, which allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a crafted TIFF file. CVE-2010-2481 libtiff: TIFFExtractData out-of-bounds read crash Added CVSS V2 Red Hat, Inc. (AV:N/AC:M/Au:N/C:N/I:N/A:P) Added Reference https://bugzilla.redhat.com/show_bug.cgi?id=611895 [No Types Assigned] Added Reference https://access.redhat.com/errata/RHSA-2010:0519 [No Types Assigned] Added Reference https://access.redhat.com/security/cve/CVE-2010-2481 [No Types Assigned] -
Initial Analysis by [email protected]
Jul. 06, 2010
Action Type Old Value New Value
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2010-2481 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2010-2481
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
1.86 }} 0.54%
score
0.88340
percentile