LibRaw 0.18.9 X3F Property Table libraw_x3f.cpp out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in LibRaw 0.18.9. Affected by this issue is some unknown functionality of the file libraw_x3f.cpp of the component X3F Property Table Handler. Performing a manipulation results in out-of-bounds. This vulnerability is known as CVE-2018-10529. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.
Details
A vulnerability was found in LibRaw 0.18.9 (Image Processing Software). It has been classified as critical. This affects an unknown functionality of the file libraw_x3f.cpp of the component X3F Property Table Handler. The manipulation with an unknown input leads to a out-of-bounds vulnerability. CWE is classifying the issue as CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered in LibRaw 0.18.9. There is an out-of-bounds read affecting the X3F property table list implementation in libraw_x3f.cpp and libraw_cxx.cpp.
The bug was discovered 04/28/2018. The weakness was published 04/29/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2018-10529 since 04/28/2018. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 109817 (Fedora 27 : LibRaw (2018-08ea7a5f0b)), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Fedora Local Security Checks and running in the context l. The commercial vulnerability scanner Qualys is able to test this issue with plugin 197127 (Ubuntu Security Notification for Libraw Vulnerabilities (USN-3639-1)).
Upgrading eliminates this vulnerability. A possible mitigation has been published 3 weeks after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (109817). Similar entry is available at VDB-117194. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
Website
- Product: https://github.com/LibRaw/LibRaw/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 109817
Nessus Name: Fedora 27 : LibRaw (2018-08ea7a5f0b)
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
OpenVAS ID: 64168
OpenVAS Name: Fedora Update for mingw-LibRaw FEDORA-2018-d3b44e5574
OpenVAS File: 🔍
OpenVAS Family: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
Exposure Time: 🔍
Patch: github.com
Timeline
04/28/2018 🔍04/28/2018 🔍
04/28/2018 🔍
04/29/2018 🔍
04/29/2018 🔍
05/15/2018 🔍
05/16/2018 🔍
03/08/2023 🔍
Sources
Product: github.comAdvisory: FEDORA-2018-08ea7a5f0b
Status: Not defined
CVE: CVE-2018-10529 (🔍)
GCVE (CVE): GCVE-0-2018-10529
GCVE (VulDB): GCVE-100-117195
See also: 🔍
Entry
Created: 04/29/2018 14:53Updated: 03/08/2023 08:08
Changes: 04/29/2018 14:53 (72), 02/01/2020 10:05 (3), 03/08/2023 08:05 (5), 03/08/2023 08:06 (1), 03/08/2023 08:08 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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