ImageWorsener 1.3.0 imagew-bmp.c iwbmp_read_info_header null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.9 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, was found in ImageWorsener 1.3.0. This affects the function iwbmp_read_info_header of the file imagew-bmp.c. Such manipulation leads to null pointer dereference.
This vulnerability is uniquely identified as CVE-2017-7452. Local access is required to approach this attack. No exploit exists.
You should upgrade the affected component.
Details
A vulnerability was found in ImageWorsener 1.3.0 (Image Processing Software). It has been rated as problematic. Affected by this issue is the function iwbmp_read_info_header of the file imagew-bmp.c. The manipulation with an unknown input leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. Impacted is availability. CVE summarizes:
The iwbmp_read_info_header function in imagew-bmp.c in libimageworsener.a in ImageWorsener 1.3.0 allows remote attackers to cause a denial of service (NULL pointer dereference) via a crafted file.
The bug was discovered 04/05/2017. The weakness was disclosed 04/06/2017 (GitHub Repository). The advisory is shared for download at github.com. This vulnerability is handled as CVE-2017-7452 since 04/05/2017. The attack may be launched remotely. No form of authentication is required for exploitation. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available.
The vulnerability scanner Nessus provides a plugin with the ID 100649 (GLSA-201706-06 : ImageWorsener: Multiple vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Gentoo Local Security Checks and running in the context l.
Upgrading eliminates this vulnerability. A possible mitigation has been published 3 months after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (100649) and SecurityFocus (BID 97496†). The entries VDB-99333, VDB-99334, VDB-99941 and VDB-99942 are pretty similar. Once again VulDB remains the best source for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.4VulDB Meta Temp Score: 4.2
VulDB Base Score: 3.3
VulDB Temp Score: 2.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 100649
Nessus Name: GLSA-201706-06 : ImageWorsener: Multiple vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
04/05/2017 🔍04/05/2017 🔍
04/05/2017 🔍
04/05/2017 🔍
04/06/2017 🔍
04/06/2017 🔍
06/06/2017 🔍
06/07/2017 🔍
08/26/2020 🔍
Sources
Advisory: github.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2017-7452 (🔍)
GCVE (CVE): GCVE-0-2017-7452
GCVE (VulDB): GCVE-100-99332
SecurityFocus: 97496 - ImageWorsener 'iwbmp_read_info_header()' Function Denial of Service Vulnerability
OSVDB: - CVE-2017-7452 - ImageWorsener - Denial of Service Issue
See also: 🔍
Entry
Created: 04/06/2017 10:47Updated: 08/26/2020 09:06
Changes: 04/06/2017 10:47 (68), 08/26/2020 09:06 (7)
Complete: 🔍
Cache ID: 216:D1F:103
Once again VulDB remains the best source for vulnerability data.
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