CVE-2025-51726
CyberGhost VPN Weak SHA-1 Signing and Predictable ASLR Vulnerability
Description
CyberGhostVPNSetup.exe (Windows installer) is signed using the weak cryptographic hash algorithm SHA-1, which is vulnerable to collision attacks. This allows a malicious actor to craft a fake installer with a forged SHA-1 certificate that may still be accepted by Windows signature verification mechanisms, particularly on systems without strict SmartScreen or trust policy enforcement. Additionally, the installer lacks High Entropy Address Space Layout Randomization (ASLR), as confirmed by BinSkim (BA2015 rule) and repeated WinDbg analysis. The binary consistently loads into predictable memory ranges, increasing the success rate of memory corruption exploits. These two misconfigurations, when combined, significantly lower the bar for successful supply-chain style attacks or privilege escalation through fake installers.
INFO
Published Date :
Aug. 4, 2025, 9:15 p.m.
Last Modified :
Aug. 5, 2025, 2:34 p.m.
Remotely Exploit :
No
Source :
[email protected]
Affected Products
The following products are affected by CVE-2025-51726
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | HIGH | 134c704f-9b21-4f2e-91b3-4a467353bcc0 |
Public PoC/Exploit Available at Github
CVE-2025-51726 has a 1 public
PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-51726.
| URL | Resource |
|---|---|
| https://github.com/meisterlos/CVE | |
| https://github.com/meisterlos/CVE-2025-51726 |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-51726 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-51726
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
📡 PoC auto collect from GitHub. ⚠️ Be careful Malware.
security cve exploit poc vulnerability
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-51726 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-51726 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Aug. 05, 2025
Action Type Old Value New Value Added CVSS V3.1 AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Added CWE CWE-327 -
New CVE Received by [email protected]
Aug. 04, 2025
Action Type Old Value New Value Added Description CyberGhostVPNSetup.exe (Windows installer) is signed using the weak cryptographic hash algorithm SHA-1, which is vulnerable to collision attacks. This allows a malicious actor to craft a fake installer with a forged SHA-1 certificate that may still be accepted by Windows signature verification mechanisms, particularly on systems without strict SmartScreen or trust policy enforcement. Additionally, the installer lacks High Entropy Address Space Layout Randomization (ASLR), as confirmed by BinSkim (BA2015 rule) and repeated WinDbg analysis. The binary consistently loads into predictable memory ranges, increasing the success rate of memory corruption exploits. These two misconfigurations, when combined, significantly lower the bar for successful supply-chain style attacks or privilege escalation through fake installers. Added Reference https://github.com/meisterlos/CVE Added Reference https://github.com/meisterlos/CVE-2025-51726