FastStone Image Viewer 6.2 User Mode FSViewer.exe JPEG File memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in FastStone Image Viewer 6.2. This affects an unknown function of the file FSViewer.exe of the component User Mode. The manipulation as part of JPEG File leads to memory corruption. This vulnerability is traded as CVE-2018-11704. An attack has to be approached locally. There is no exploit available.
Details
A vulnerability was found in FastStone Image Viewer 6.2. It has been rated as critical. This issue affects some unknown processing of the file FSViewer.exe of the component User Mode. The manipulation as part of a JPEG File 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:
FastStone Image Viewer 6.2 has a User Mode Write AV at 0x00402d7d, triggered when the user opens a malformed JPEG file that is mishandled by FSViewer.exe. Attackers could exploit this issue for DoS (Access Violation) or possibly unspecified other impact.
The bug was discovered 06/19/2018. The weakness was shared 06/20/2018 (Website). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2018-11704 since 06/04/2018. The attack may be initiated remotely. No form of authentication is needed for a successful 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 commercial vulnerability scanner Qualys is able to test this issue with plugin 371016 (FastStone Image Viewer Multiple Vulnerabilities).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The entries VDB-119696, VDB-119697, VDB-119698 and VDB-119700 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.5VulDB Meta Temp Score: 6.5
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
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: 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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Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
Timeline
06/04/2018 🔍06/19/2018 🔍
06/19/2018 🔍
06/20/2018 🔍
06/20/2018 🔍
02/20/2020 🔍
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2018-11704 (🔍)
GCVE (CVE): GCVE-0-2018-11704
GCVE (VulDB): GCVE-100-119699
See also: 🔍
Entry
Created: 06/20/2018 13:38Updated: 02/20/2020 15:06
Changes: 06/20/2018 13:38 (61), 02/20/2020 15:06 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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