| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Python 2.5 and classified as problematic. Affected is an unknown function. This manipulation causes memory corruption. This vulnerability is handled as CVE-2009-4134. There is not any exploit available.
Details
A vulnerability classified as problematic was found in Python 2.5 (Programming Language Software). Affected by this vulnerability is an unknown part. The manipulation with an unknown input leads to a memory corruption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect availability. The summary by CVE is:
Buffer underflow in the rgbimg module in Python 2.5 allows remote attackers to cause a denial of service (application crash) via a large ZSIZE value in a black-and-white (aka B/W) RGB image that triggers an invalid pointer dereference.
The weakness was released 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 known as CVE-2009-4134 since 12/01/2009. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available.
It is declared as proof-of-concept. The vulnerability scanner Nessus provides a plugin with the ID 68201 (Oracle Linux 4 : python (ELSA-2011-0260)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Oracle Linux 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 (58878), Tenable (68201), SecurityFocus (BID 40361†), Secunia (SA42888†) and Vulnerability Center (SBV-28086†). Entries connected to this vulnerability are available at VDB-53380 and VDB-53379. 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: 5.3VulDB Meta Temp Score: 5.0
VulDB Base Score: 5.3
VulDB Temp Score: 5.0
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: Proof-of-Concept
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 68201
Nessus Name: Oracle Linux 4 : python (ELSA-2011-0260)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Port: 🔍
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
12/01/2009 🔍05/25/2010 🔍
05/25/2010 🔍
05/27/2010 🔍
05/27/2010 🔍
11/09/2010 🔍
01/13/2011 🔍
07/12/2013 🔍
03/19/2015 🔍
09/14/2021 🔍
Sources
Advisory: Bug 541698Researcher: Jan Lieskovsky
Status: Not defined
Confirmation: 🔍
CVE: CVE-2009-4134 (🔍)
GCVE (CVE): GCVE-0-2009-4134
GCVE (VulDB): GCVE-100-53371
OVAL: 🔍
X-Force: 58878
SecurityFocus: 40361 - Python 'rgbimg' Module ZSIZE Value Buffer Underflow Vulnerability
Secunia: 42888 - Red Hat update for python, Moderately Critical
Vulnerability Center: 28086 - rgbimg module in Python 2.5 Remote DoS Vulnerability via a Large ZSIZE Value in a B/W RGB Image, Medium
Vupen: ADV-2011-0122
See also: 🔍
Entry
Created: 03/19/2015 12:22Updated: 09/14/2021 09:44
Changes: 03/19/2015 12:22 (64), 03/09/2017 00:01 (15), 09/14/2021 09:44 (3)
Complete: 🔍
Cache ID: 216:F32:103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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