NIKON NIS-Elements Viewer 1.2100.1483.0 BMP Image Parser heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in NIKON NIS-Elements Viewer 1.2100.1483.0. It has been rated as critical. Affected is an unknown function of the component BMP Image Parser. The manipulation leads to heap-based overflow. This vulnerability is documented as CVE-2022-40661. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in NIKON NIS-Elements Viewer 1.2100.1483.0. It has been rated as critical. This issue affects an unknown function of the component BMP Image Parser. 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 confidentiality, integrity, and availability. The summary by CVE is:
This vulnerability allows remote attackers to execute arbitrary code on affected installations of NIKON NIS-Elements Viewer 1.2100.1483.0. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of BMP images. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a heap-based buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-15134.
The weakness was released 09/15/2022 as ZDI-22-1217. It is possible to read the advisory at zerodayinitiative.com. The identification of this vulnerability is CVE-2022-40661 since 09/13/2022. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/07/2025).
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
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.2
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CNA Base Score: 7.8
CNA Vector (Zero Day Initiative): 🔍
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: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/13/2022 🔍09/15/2022 🔍
09/15/2022 🔍
04/29/2025 🔍
Sources
Advisory: ZDI-22-1217Status: Not defined
CVE: CVE-2022-40661 (🔍)
GCVE (CVE): GCVE-0-2022-40661
GCVE (VulDB): GCVE-100-208691
Entry
Created: 09/15/2022 22:03Updated: 04/29/2025 23:29
Changes: 09/15/2022 22:03 (49), 10/18/2022 09:50 (11), 01/07/2025 20:54 (15), 04/29/2025 23:29 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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