| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in LibRaw up to 0.17.0. It has been rated as critical. This impacts the function smal_decode_segment. Performing a manipulation results in array index.
This vulnerability is known as CVE-2015-8366. Remote exploitation of the attack is possible. No exploit is available.
Upgrading the affected component is advised.
Details
A vulnerability classified as critical has been found in LibRaw up to 0.17.0 (Image Processing Software). This affects the function smal_decode_segment. The manipulation with an unknown input leads to a array index vulnerability. CWE is classifying the issue as CWE-129. The product uses untrusted input when calculating or using an array index, but the product does not validate or incorrectly validates the index to ensure the index references a valid position within the array. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Array index error in smal_decode_segment function in LibRaw before 0.17.1 allows context-dependent attackers to cause memory errors and possibly execute arbitrary code via vectors related to indexes.
The weakness was published 04/22/2023 as 134573. It is possible to read the advisory at seclists.org. This vulnerability is uniquely identified as CVE-2015-8366 since 11/26/2015. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 305658 (NewStart CGSL MAIN 6.06 : LibRaw Multiple Vulnerabilities (NS-SA-2025-0242)), which helps to determine the existence of the flaw in a target environment. The commercial vulnerability scanner Qualys is able to test this issue with plugin 196982 (Ubuntu Security Notification for Libraw Vulnerabilities (USN-3492-1)).
Upgrading to version 0.17.1 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (305658). 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: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Array indexCWE: CWE-129 / 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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 305658
Nessus Name: NewStart CGSL MAIN 6.06 : LibRaw Multiple Vulnerabilities (NS-SA-2025-0242)
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: LibRaw 0.17.1
Timeline
11/26/2015 🔍04/22/2023 🔍
04/22/2023 🔍
04/09/2026 🔍
Sources
Advisory: 134573Status: Confirmed
CVE: CVE-2015-8366 (🔍)
GCVE (CVE): GCVE-0-2015-8366
GCVE (VulDB): GCVE-100-227115
Entry
Created: 04/22/2023 08:30Updated: 04/09/2026 16:51
Changes: 04/22/2023 08:30 (56), 11/24/2024 17:15 (17), 04/09/2026 16:51 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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