OpenJPEG 2.3.1 openjp2/t1.c opj_t1_encode_cblks BMP File resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in OpenJPEG 2.3.1. This impacts the function opj_t1_encode_cblks of the file openjp2/t1.c. This manipulation as part of BMP File causes resource consumption.
This vulnerability is registered as CVE-2019-12973. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in OpenJPEG 2.3.1 (Image Processing Software). It has been declared as problematic. Affected by this vulnerability is the function opj_t1_encode_cblks of the file openjp2/t1.c. The manipulation as part of a BMP File leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability. The summary by CVE is:
In OpenJPEG 2.3.1, there is excessive iteration in the opj_t1_encode_cblks function of openjp2/t1.c. Remote attackers could leverage this vulnerability to cause a denial of service via a crafted bmp file. This issue is similar to CVE-2018-6616.
The weakness was published 06/26/2019 (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is known as CVE-2019-12973 since 06/26/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Similar entry is available at VDB-136911. 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: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
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: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Patch: github.com
Timeline
06/26/2019 🔍06/26/2019 🔍
06/27/2019 🔍
10/08/2023 🔍
Sources
Advisory: 8ee335227bbcaf1614124046aa25e53d67b11ec3⛔Status: Not defined
CVE: CVE-2019-12973 (🔍)
GCVE (CVE): GCVE-0-2019-12973
GCVE (VulDB): GCVE-100-136915
SecurityFocus: 108900
See also: 🔍
Entry
Created: 06/27/2019 08:57Updated: 10/08/2023 10:42
Changes: 06/27/2019 08:57 (56), 06/28/2020 07:31 (1), 10/08/2023 10:36 (5), 10/08/2023 10:42 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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