Vulnerabilities
Misconfiguration
Runtime Security
Compliance
CVE Vulnerabilities

CVE-2007-4965

Integer Overflow or Wraparound

Published: Sep 18, 2007 | Modified: Aug 02, 2023
CVSS 3.x
N/A
Source:
NVD
CVSS 2.x
5.8 MEDIUM
AV:N/AC:M/Au:N/C:P/I:N/A:P
RedHat/V2
RedHat/V3
Ubuntu
LOW
Additional information
NVDhttps://nvd.nist.gov/vuln/detail/CVE-2007-4965
CWEhttps://cwe.mitre.org/data/definitions/190.html

Multiple integer overflows in the imageop module in Python 2.5.1 and earlier allow context-dependent attackers to cause a denial of service (application crash) and possibly obtain sensitive information (memory contents) via crafted arguments to (1) the tovideo method, and unspecified other vectors related to (2) imageop.c, (3) rbgimgmodule.c, and other files, which trigger heap-based buffer overflows.

Weakness

The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control.

Affected Software

Name Vendor Start Version End Version
Python Python * 2.5.1 (including)
Red Hat Enterprise Linux 3 RedHat python-0:2.2.3-6.8 *
Red Hat Enterprise Linux 4 RedHat python-0:2.3.4-14.4.el4_6.1 *
Red Hat Enterprise Linux 5 RedHat python-0:2.4.3-24.el5_3.6 *
Red Hat Network Satellite Server v 4.2 RedHat rhn-solaris-bootstrap-0:5.0.2-3 *
Red Hat Network Satellite Server v 4.2 RedHat rhn_solaris_bootstrap_5_0_2_3-0:1-0 *
Red Hat Network Satellite Server v 4.2 (RHEL3) RedHat rhn-solaris-bootstrap-0:5.0.2-3 *
Red Hat Network Satellite Server v 4.2 (RHEL3) RedHat rhn_solaris_bootstrap_5_0_2_3-0:1-0 *
Red Hat Network Satellite Server v 5.0 RedHat rhn-solaris-bootstrap-0:5.0.2-3 *
Red Hat Network Satellite Server v 5.0 RedHat rhn_solaris_bootstrap_5_0_2_3-0:1-0 *
Red Hat Network Satellite Server v 5.1 RedHat rhn-solaris-bootstrap-0:5.1.1-3 *
Red Hat Network Satellite Server v 5.1 RedHat rhn_solaris_bootstrap_5_1_1_3-0:1-0 *
Python2.2 Ubuntu dapper *
Python2.3 Ubuntu dapper *
Python2.4 Ubuntu dapper *
Python2.4 Ubuntu edgy *
Python2.4 Ubuntu feisty *
Python2.4 Ubuntu gutsy *
Python2.5 Ubuntu edgy *
Python2.5 Ubuntu feisty *
Python2.5 Ubuntu gutsy *

Potential Mitigations

  • Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • If possible, choose a language or compiler that performs automatic bounds checking.
  • Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
  • Use libraries or frameworks that make it easier to handle numbers without unexpected consequences.
  • Examples include safe integer handling packages such as SafeInt (C++) or IntegerLib (C or C++). [REF-106]
  • Perform input validation on any numeric input by ensuring that it is within the expected range. Enforce that the input meets both the minimum and maximum requirements for the expected range.
  • Use unsigned integers where possible. This makes it easier to perform validation for integer overflows. When signed integers are required, ensure that the range check includes minimum values as well as maximum values.
  • Understand the programming language’s underlying representation and how it interacts with numeric calculation (CWE-681). Pay close attention to byte size discrepancies, precision, signed/unsigned distinctions, truncation, conversion and casting between types, “not-a-number” calculations, and how the language handles numbers that are too large or too small for its underlying representation. [REF-7]
  • Also be careful to account for 32-bit, 64-bit, and other potential differences that may affect the numeric representation.

References

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