CVSS Meta Temp Score
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in Vesta Control Panel and classified as problematic. This affects an unknown function. Performing a manipulation results in malicious code. This vulnerability is identified as CVE-2018-25117. The attack can be initiated remotely. Additionally, an exploit exists. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability, which was classified as problematic, was found in Vesta Control Panel (the affected version unknown). This affects an unknown part. The manipulation with an unknown input leads to a malicious code vulnerability. CWE is classifying the issue as CWE-506. The product contains code that appears to be malicious in nature. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

VestaCP commit a3f0fa1 (2018-05-31) up to commit ee03eff (2018-06-13) contain embedded malicious code that resulted in a supply-chain compromise. New installations created from the compromised installer since at least May 2018 were subject to installation of Linux/ChachaDDoS, a multi-stage DDoS bot that uses Lua for second- and third-stage components. The compromise leaked administrative credentials (base64-encoded admin password and server domain) to an external URL during installation and/or resulted in the installer dropping and executing a DDoS malware payload under local system privileges. Compromised servers were subsequently observed participating in large-scale DDoS activity. Vesta acknowledged exploitation in the wild in October 2018.

It is possible to read the advisory at welivesecurity.com. This vulnerability is uniquely identified as CVE-2018-25117 since 10/14/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. It demands that the victim is doing some kind of user interaction. Technical details are unknown but an exploit is available.

It is declared as highly functional.

Applying a patch is able to eliminate this problem.

The vulnerability is also documented in the databases at CNNVD (CNNVD-202510-2273) and EUVD (EUVD-2018-21604). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.3

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Malicious code
CWE: CWE-506
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Highly functional

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/14/2025 CVE reserved
10/15/2025 +1 days Advisory disclosed
10/15/2025 +0 days VulDB entry created
10/17/2025 +1 days VulDB entry last update

Sourcesinfo

Advisory: welivesecurity.com
Status: Confirmed

CVE: CVE-2018-25117 (🔒)
GCVE (CVE): GCVE-0-2018-25117
GCVE (VulDB): GCVE-100-328611
EUVD: 🔒
CNNVD: CNNVD-202510-2273 - Vesta Control Panel 安全漏洞

scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 10/15/2025 03:57
Updated: 10/17/2025 00:37
Changes: 10/15/2025 03:57 (64), 10/15/2025 04:21 (1), 10/17/2025 00:37 (6)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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