LibRaw up to 0.22.2 Nikon Makernote parseNikonMakernote heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.81 |
Summary
A vulnerability identified as problematic has been detected in LibRaw up to 0.22.2. Affected is the function LibRaw::parseNikonMakernote of the component Nikon Makernote Handler. The manipulation leads to heap-based overflow.
This vulnerability is uniquely identified as CVE-2026-111272. Local access is required to approach this attack. No exploit exists.
Details
A vulnerability was found in LibRaw up to 0.22.2. It has been rated as problematic. This issue affects the function LibRaw::parseNikonMakernote of the component Nikon Makernote Handler. The manipulation with an unknown input leads to a heap-based overflow vulnerability. Using CWE to declare the problem leads to CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). Impacted is availability. The summary by CVE is:
LibRaw through 0.22.2 contains a heap-based out-of-bounds read in LibRaw::parseNikonMakernote() that allows attackers to read past a short ShotInfo buffer. Attackers can supply a crafted Nikon NEF/TIFF with a 5-byte ShotInfo tag declaring version 243 to crash applications decoding the image.
It is possible to read the advisory at hackmd.io. The identification of this vulnerability is CVE-2026-111272 since 10/15/2026. The exploitation is known to be easy. Attacking locally is a requirement. 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.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
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: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.1VulDB Meta Temp Score: 4.1
VulDB Base Score: 2.8
VulDB Temp Score: 2.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (VulnCheck): 🔒
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: 🔍
Exploiting
Class: Heap-based overflowCWE: CWE-122 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/15/2026 CVE reserved10/15/2026 VulDB entry created
10/16/2026 Advisory disclosed
10/16/2026 VulDB entry last update
Sources
Advisory: hackmd.ioStatus: Not defined
CVE: CVE-2026-111272 (🔒)
GCVE (CVE): GCVE-0-2026-111272
GCVE (VulDB): GCVE-100-420947
Entry
Created: 10/16/2026 00:08Changes: 10/16/2026 00:08 (38), 10/16/2026 00:09 (36)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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