NickeManarin ScreenToGif up to 2.42.1 version.dll untrusted search path
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in NickeManarin ScreenToGif up to 2.42.1. It has been rated as problematic. Affected by this vulnerability is an unknown functionality in the library version.dll. The manipulation leads to untrusted search path. This vulnerability is documented as CVE-2026-33156. The attack needs to be performed locally. There is not any exploit available.
Details
A vulnerability was found in NickeManarin ScreenToGif up to 2.42.1 and classified as critical. This issue affects an unknown function in the library version.dll. The manipulation with an unknown input leads to a untrusted search path vulnerability. Using CWE to declare the problem leads to CWE-426. The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
ScreenToGif is a screen recording tool. In versions from 2.42.1 and prior, ScreenToGif is vulnerable to DLL sideloading via version.dll . When the portable executable is run from a user-writable directory, it loads version.dll from the application directory instead of the Windows System32 directory, allowing arbitrary code execution in the user's context. This is especially impactful because ScreenToGif is primarily distributed as a portable application intended to be run from user-writable locations. At time of publication, there are no publicly available patches.
The advisory is shared at github.com. The identification of this vulnerability is CVE-2026-33156 since 03/17/2026. The exploitation is known to be difficult. An attack has to be approached locally. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/27/2026). MITRE ATT&CK project uses the attack technique T1574 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-13793). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.4VulDB Meta Temp Score: 7.3
VulDB Base Score: 7.0
VulDB Temp Score: 6.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.8
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Untrusted search pathCWE: CWE-426
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
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
03/17/2026 CVE reserved03/20/2026 Advisory disclosed
03/20/2026 VulDB entry created
03/27/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-3fmj-j696-9mg2
Status: Not defined
CVE: CVE-2026-33156 (🔒)
GCVE (CVE): GCVE-0-2026-33156
GCVE (VulDB): GCVE-100-352121
EUVD: 🔒
Entry
Created: 03/20/2026 23:26Updated: 03/27/2026 02:58
Changes: 03/20/2026 23:26 (63), 03/21/2026 03:18 (1), 03/27/2026 02:58 (1)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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