CVE-2008-3143 : Detail

CVE-2008-3143

1.63%V4
Network
2008-08-01
12h00 +00:00
2018-10-11
17h57 +00:00
CVE.org
NVD
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CVE Descriptions

Multiple integer overflows in Python before 2.5.2 might allow context-dependent attackers to have an unknown impact via vectors related to (1) Include/pymem.h; (2) _csv.c, (3) _struct.c, (4) arraymodule.c, (5) audioop.c, (6) binascii.c, (7) cPickle.c, (8) cStringIO.c, (9) cjkcodecs/multibytecodec.c, (10) datetimemodule.c, (11) md5.c, (12) rgbimgmodule.c, and (13) stropmodule.c in Modules/; (14) bufferobject.c, (15) listobject.c, and (16) obmalloc.c in Objects/; (17) Parser/node.c; and (18) asdl.c, (19) ast.c, (20) bltinmodule.c, and (21) compile.c in Python/, as addressed by "checks for integer overflows, contributed by Google."

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-190 Integer Overflow or Wraparound
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 occurs when an integer value is incremented to a value that is too large to store in the associated representation. When this occurs, the value may become a very small or negative number.

Metrics

Metrics Score Severity CVSS Vector Source
V2 7.5 AV:N/AC:L/Au:N/C:P/I:P/A:P nvd@nist.gov

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.
EPSS First.org

Products Mentioned

Configuraton 0

Python>>Python >> Version To (excluding) 2.5.12

References

http://www.vupen.com/english/advisories/2008/2288
Tags : vdb-entry, x_refsource_VUPEN
http://secunia.com/advisories/32793
Tags : third-party-advisory, x_refsource_SECUNIA
http://www.securityfocus.com/bid/30491
Tags : vdb-entry, x_refsource_BID
http://secunia.com/advisories/37471
Tags : third-party-advisory, x_refsource_SECUNIA
http://secunia.com/advisories/31687
Tags : third-party-advisory, x_refsource_SECUNIA
http://security.gentoo.org/glsa/glsa-200807-16.xml
Tags : vendor-advisory, x_refsource_GENTOO
http://secunia.com/advisories/31332
Tags : third-party-advisory, x_refsource_SECUNIA
http://www.ubuntu.com/usn/usn-632-1
Tags : vendor-advisory, x_refsource_UBUNTU
http://www.mandriva.com/security/advisories?name=MDVSA-2008:164
Tags : vendor-advisory, x_refsource_MANDRIVA
http://secunia.com/advisories/31518
Tags : third-party-advisory, x_refsource_SECUNIA
http://secunia.com/advisories/31365
Tags : third-party-advisory, x_refsource_SECUNIA
http://secunia.com/advisories/31473
Tags : third-party-advisory, x_refsource_SECUNIA
http://www.debian.org/security/2008/dsa-1667
Tags : vendor-advisory, x_refsource_DEBIAN
http://www.mandriva.com/security/advisories?name=MDVSA-2008:163
Tags : vendor-advisory, x_refsource_MANDRIVA
http://www.vupen.com/english/advisories/2009/3316
Tags : vdb-entry, x_refsource_VUPEN
The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.