OpenJPEG 2016.1.18 JPEG 2000 Image opj_j2k_update_image_data memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.8 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in OpenJPEG 2016.1.18. This issue affects the function opj_j2k_update_image_data of the component JPEG 2000 Image Handler. The manipulation leads to memory corruption.
This vulnerability is documented as CVE-2016-1923. The attack can be initiated remotely. There is not any exploit available.
It is advisable to upgrade the affected component.
Details
A vulnerability was found in OpenJPEG 2016.1.18 (Image Processing Software). It has been rated as very critical. This issue affects the function opj_j2k_update_image_data of the component JPEG 2000 Image Handler. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Heap-based buffer overflow in the opj_j2k_update_image_data function in OpenJpeg 2016.1.18 allows remote attackers to cause a denial of service (out-of-bounds read and application crash) via a crafted JPEG 2000 image.
The weakness was released 01/27/2016 (Website). It is possible to read the advisory at openwall.com. The identification of this vulnerability is CVE-2016-1923 since 01/18/2016. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/07/2018).
The vulnerability scanner Nessus provides a plugin with the ID 95642 (GLSA-201612-26 : OpenJPEG: 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 12 months after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (95642). Entry connected to this vulnerability is available at VDB-80712. Be aware that VulDB is the high quality 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: 8.2VulDB Meta Temp Score: 8.0
VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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: 95642
Nessus Name: GLSA-201612-26 : OpenJPEG: 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
01/18/2016 🔍01/27/2016 🔍
01/27/2016 🔍
01/28/2016 🔍
12/08/2016 🔍
12/08/2016 🔍
07/07/2018 🔍
Sources
Advisory: openwall.comStatus: Not defined
CVE: CVE-2016-1923 (🔍)
GCVE (CVE): GCVE-0-2016-1923
GCVE (VulDB): GCVE-100-80711
See also: 🔍
Entry
Created: 01/28/2016 10:19Updated: 07/07/2018 10:20
Changes: 01/28/2016 10:19 (47), 07/07/2018 10:20 (21)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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