Curtis Galloway exif 0.6.20 jpeg-data.c jpeg_data_load_data numeric error
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Curtis Galloway exif 0.6.20. It has been classified as problematic. This affects the function jpeg_data_load_data of the file jpeg-data.c. The manipulation leads to numeric error.
This vulnerability is listed as CVE-2012-2845. There is no available exploit.
Details
A vulnerability, which was classified as critical, has been found in Curtis Galloway exif 0.6.20. This issue affects the function jpeg_data_load_data of the file jpeg-data.c. The manipulation with an unknown input leads to a numeric error vulnerability. Using CWE to declare the problem leads to CWE-189. Impacted is confidentiality, and availability. The summary by CVE is:
Integer overflow in the jpeg_data_load_data function in jpeg-data.c in libjpeg in exif 0.6.20 allows remote attackers to cause a denial of service (buffer over-read and application crash) or obtain potentially sensitive information via a crafted JPEG file.
The weakness was presented 07/13/2012 by Mateusz Jurczyk (Website). It is possible to read the advisory at mandriva.com. The identification of this vulnerability is CVE-2012-2845. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 60132 (Fedora 17 : exif-0.6.21-1.fc17 (2012-10854)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Fedora Local Security Checks. The commercial vulnerability scanner Qualys is able to test this issue with plugin 121339 (Solaris Multiple Vulnerabilities in libexif).
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 (76909), Tenable (60132), SecurityFocus (BID 54437†), Secunia (SA49988†) and Vulnerability Center (SBV-35657†). See VDB-61282, VDB-61281, VDB-61280 and VDB-61279 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 6.5
VulDB Temp Score: 6.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔍
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Exploiting
Class: Numeric errorCWE: CWE-189
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
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Current Price Estimation: 🔍
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Nessus ID: 60132
Nessus Name: Fedora 17 : exif-0.6.21-1.fc17 (2012-10854)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Port: 🔍
OpenVAS ID: 71972
OpenVAS Name: Slackware Advisory SSA:2012-200-01 libexif
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
05/19/2012 🔍07/12/2012 🔍
07/13/2012 🔍
07/13/2012 🔍
07/13/2012 🔍
07/19/2012 🔍
07/24/2012 🔍
07/27/2012 🔍
03/23/2015 🔍
12/06/2021 🔍
Sources
Advisory: mandriva.comResearcher: Mateusz Jurczyk
Status: Not defined
CVE: CVE-2012-2845 (🔍)
GCVE (CVE): GCVE-0-2012-2845
GCVE (VulDB): GCVE-100-61283
X-Force: 76909
SecurityFocus: 54437 - libexif Multiple Remote Vulnerabilities
Secunia: 49988 - Slackware update for libexif, Moderately Critical
Vulnerability Center: 35657 - Libjpeg in Exif 0.6.20 Remote DoS or Arbitrary Code Execution Vulnerability via a Crafted JPEG File, Medium
See also: 🔍
Entry
Created: 03/23/2015 16:50Updated: 12/06/2021 09:04
Changes: 03/23/2015 16:50 (64), 04/14/2017 14:49 (11), 12/06/2021 09:01 (3), 12/06/2021 09:04 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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