IBM API Connect up to 10.0.8.12 Pseudo-Random Number Generator random values

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.
5.9$0-$5k0.41+

Summaryinfo

A vulnerability was found in IBM API Connect up to 10.0.8.12 and classified as problematic. Affected by this issue is some unknown functionality of the component Pseudo-Random Number Generator. Executing a manipulation can lead to random values. This vulnerability appears as CVE-2026-17386. The attack may be performed from remote. There is no available exploit.

Detailsinfo

A vulnerability was found in IBM API Connect up to 10.0.8.12. It has been declared as problematic. This vulnerability affects an unknown code of the component Pseudo-Random Number Generator. The manipulation with an unknown input leads to a random values vulnerability. The CWE definition for the vulnerability is CWE-330. The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers. As an impact it is known to affect confidentiality. CVE summarizes:

IBM API Connect 10.0.8.0 through 10.0.8.12 could allow a remote attacker to gain full administrative control due to the use of a cryptographically weak pseudo-random number generator.

The advisory is shared for download at ibm.com. This vulnerability was named CVE-2026-17386 since 07/25/2026. The exploitation appears to be difficult. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 11/07/2026). The MITRE ATT&CK project declares the attack technique as T1600.001.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.9
VulDB Meta Temp Score: 5.9

VulDB Base Score: 3.7
VulDB Temp Score: 3.7
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 8.1
CNA Vector (ibm): 🔒

CVSSv2info

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

Exploitinginfo

Class: Random values
CWE: CWE-330 / CWE-310
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
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

07/25/2026 CVE reserved
11/07/2026 +105 days Advisory disclosed
11/07/2026 +0 days VulDB entry created
11/07/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed

CNA: ibm
CVE: CVE-2026-17386 (🔒)

GCVE (CVE): GCVE-0-2026-17386
GCVE (VulDB): GCVE-100-432268

Entryinfo

Created: 11/07/2026 06:17
Changes: 11/07/2026 06:17 (63)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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