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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
8.6$0-$5k0.00

Summaryinfo

A vulnerability classified as very critical has been found in IBM MQ 9.3/9.4. Affected by this issue is some unknown functionality. The manipulation leads to control sequence. This vulnerability is uniquely identified as CVE-2025-0975. The attack is possible to be carried out remotely. No exploit exists. It is recommended to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as very critical, has been found in IBM MQ 9.3/9.4. This issue affects some unknown processing. The manipulation with an unknown input leads to a control sequence vulnerability. Using CWE to declare the problem leads to CWE-150. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could be interpreted as escape, meta, or control character sequences when they are sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

IBM MQ 9.3 LTS, 9.3 CD, 9.4 LTS, and 9.4 CD console could allow an authenticated user to execute code due to improper neutralization of escape characters.

It is possible to read the advisory at ibm.com. The identification of this vulnerability is CVE-2025-0975 since 02/02/2025. The exploitation is known to be easy. The attack may be initiated remotely. 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 07/04/2025).

The vulnerability scanner Nessus provides a plugin with the ID 232201 (IBM MQ Command Injection (7184342)), which helps to determine the existence of the flaw in a target environment.

Upgrading eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (232201). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.8
VulDB Meta Temp Score: 8.6

VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 8.8
CNA Vector (ibm): 🔍

CVSSv2info

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

Exploitinginfo

Class: Control sequence
CWE: CWE-150 / CWE-20
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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Nessus ID: 232201
Nessus Name: IBM MQ Command Injection (7184342)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/02/2025 🔍
02/28/2025 +26 days 🔍
02/28/2025 +0 days 🔍
07/04/2025 +125 days 🔍

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed

CVE: CVE-2025-0975 (🔍)
GCVE (CVE): GCVE-0-2025-0975
GCVE (VulDB): GCVE-100-297947

Entryinfo

Created: 02/28/2025 07:01
Updated: 07/04/2025 01:31
Changes: 02/28/2025 07:01 (62), 03/07/2025 01:31 (2), 07/04/2025 01:31 (1)
Complete: 🔍
Cache ID: 216::103

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

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