| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in Python 2.5. The impacted element is an unknown function of the file rgbimgmodule.c. Performing a manipulation results in numeric error. This vulnerability is cataloged as CVE-2010-1449. There is no exploit available.
Details
A vulnerability classified as critical has been found in Python 2.5 (Programming Language Software). This affects an unknown code of the file rgbimgmodule.c. The manipulation with an unknown input leads to a numeric error vulnerability. CWE is classifying the issue as CWE-189. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Integer overflow in rgbimgmodule.c in the rgbimg module in Python 2.5 allows remote attackers to have an unspecified impact via a large image that triggers a buffer overflow. NOTE: this vulnerability exists because of an incomplete fix for CVE-2008-3143.12.
The weakness was shared 05/27/2010 by Jan Lieskovsky as Bug 541698 as not defined bug report (Bugzilla). It is possible to read the advisory at bugzilla.redhat.com. This vulnerability is uniquely identified as CVE-2010-1449 since 04/15/2010. The exploitability is told to be easy. 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.
It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 50548 (Mac OS X 10.6.x < 10.6.5 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family MacOS X Local Security Checks. The commercial vulnerability scanner Qualys is able to test this issue with plugin 155527 (Oracle Enterprise Linux Update for Python (ELSA-2011-0260)).
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 X-Force (58879), Tenable (50548), SecurityFocus (BID 40363†), Secunia (SA42888†) and Vulnerability Center (SBV-28087†). The entries VDB-53765, VDB-53380, VDB-53371 and VDB-52948 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.9
VulDB Base Score: 7.3
VulDB Temp Score: 6.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Numeric errorCWE: CWE-189
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Proof-of-Concept
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 50548
Nessus Name: Mac OS X 10.6.x < 10.6.5 Multiple Vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
OpenVAS ID: 802144
OpenVAS Name: Mac OS X v10.6.4 Multiple Vulnerabilities (2010-007)
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
04/15/2010 🔍05/25/2010 🔍
05/25/2010 🔍
05/27/2010 🔍
05/27/2010 🔍
11/09/2010 🔍
01/13/2011 🔍
03/19/2015 🔍
09/14/2021 🔍
Sources
Advisory: Bug 541698Researcher: Jan Lieskovsky
Status: Not defined
Confirmation: 🔍
CVE: CVE-2010-1449 (🔍)
GCVE (CVE): GCVE-0-2010-1449
GCVE (VulDB): GCVE-100-53379
OVAL: 🔍
X-Force: 58879
SecurityFocus: 40363 - Python 'rgbimg' Module 'rv' Array Buffer Overflow Vulnerability
Secunia: 42888 - Red Hat update for python, Moderately Critical
Vulnerability Center: 28087 - rgbimgmodule.c in the Rgbimg Module in Python 2.5 Remote Integer Overflow Vulnerability, Medium
Vupen: ADV-2011-0122
See also: 🔍
Entry
Created: 03/19/2015 12:22Updated: 09/14/2021 10:03
Changes: 03/19/2015 12:22 (63), 03/09/2017 07:58 (15), 09/14/2021 10:03 (3)
Complete: 🔍
Cache ID: 216:46D:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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