OpenText Service Management Automation/Asset Management X insufficient granularity of access control

CVSS Meta Temp Score
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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.
5.4$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in OpenText Service Management Automation and Asset Management X. The affected element is an unknown function. This manipulation causes insufficient granularity of access control. The identification of this vulnerability is CVE-2023-32259. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability classified as problematic was found in OpenText Service Management Automation and Asset Management X (affected version not known). Affected by this vulnerability is some unknown functionality. The manipulation with an unknown input leads to a insufficient granularity of access control vulnerability. The CWE definition for the vulnerability is CWE-1220. The product implements access controls via a policy or other feature with the intention to disable or restrict accesses (reads and/or writes) to assets in a system from untrusted agents. However, implemented access controls lack required granularity, which renders the control policy too broad because it allows accesses from unauthorized agents to the security-sensitive assets. As an impact it is known to affect integrity. The summary by CVE is:

Insufficient Granularity of Access Control vulnerability in OpenText™ Service Management Automation X (SMAX), OpenText™ Asset Management X (AMX) allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Service Management Automation X (SMAX) versions 2020.05, 2020.08, 2020.11, 2021.02, 2021.05, 2021.08, 2021.11, 2022.05, 2022.11; and Asset Management X (AMX) versions 2021.08, 2021.11, 2022.05, 2022.11.

The advisory is shared at portal.microfocus.com. This vulnerability is known as CVE-2023-32259 since 05/05/2023. The exploitation appears to be easy. The attack can be launched remotely. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/19/2024).

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

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Vendor

Name

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.4
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 6.5
CNA Vector (OpenText): 🔍

CVSSv2info

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

Exploitinginfo

Class: Insufficient granularity of access control
CWE: CWE-1220 / CWE-284 / CWE-266
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

05/05/2023 🔍
03/19/2024 +319 days 🔍
03/19/2024 +0 days 🔍
03/19/2024 +0 days 🔍

Sourcesinfo

Advisory: portal.microfocus.com
Status: Confirmed

CVE: CVE-2023-32259 (🔍)
GCVE (CVE): GCVE-0-2023-32259
GCVE (VulDB): GCVE-100-257329

Entryinfo

Created: 03/19/2024 18:35
Changes: 03/19/2024 18:35 (60)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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