Rockwell Automation FactoryTalk View Machine Edition up to 14 os command injection

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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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.
9.8$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Rockwell Automation FactoryTalk View Machine Edition up to 14. This affects an unknown function. The manipulation leads to os command injection. This vulnerability is traded as CVE-2025-24480. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in Rockwell Automation FactoryTalk View Machine Edition up to 14. It has been rated as very critical. This issue affects some unknown functionality. The manipulation with an unknown input leads to a os command injection vulnerability. Using CWE to declare the problem leads to CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

A Remote Code Execution Vulnerability exists in the product and version listed above. The vulnerability is due to lack of input sanitation and could allow a remote attacker to run commands or code as a high privileged user.

It is possible to read the advisory at rockwellautomation.com. The identification of this vulnerability is CVE-2025-24480 since 01/21/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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 01/28/2025). The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.

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.

Productinfo

Type

Vendor

Name

Version

License

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: 9.8
VulDB Meta Temp Score: 9.8

VulDB Base Score: 9.8
VulDB Temp Score: 9.8
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: Os command injection
CWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/21/2025 🔍
01/28/2025 +7 days 🔍
01/28/2025 +0 days 🔍
01/28/2025 +0 days 🔍

Sourcesinfo

Advisory: rockwellautomation.com
Status: Confirmed

CVE: CVE-2025-24480 (🔍)
GCVE (CVE): GCVE-0-2025-24480
GCVE (VulDB): GCVE-100-293939

Entryinfo

Created: 01/28/2025 20:53
Changes: 01/28/2025 20:53 (65)
Complete: 🔍
Cache ID: 216::103

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

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