HPE Fabric Composer up to 7.3.3 API Endpoint improper authentication

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.
4.3$5k-$25k0.99+

Summaryinfo

A vulnerability, which was classified as problematic, has been found in HPE Fabric Composer up to 7.3.3. This vulnerability affects unknown code of the component API Endpoint. The manipulation leads to improper authentication. This vulnerability is referenced as CVE-2026-73742. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in HPE Fabric Composer up to 7.3.3 and classified as problematic. This issue affects an unknown functionality of the component API Endpoint. The manipulation with an unknown input leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is integrity. The summary by CVE is:

A vulnerability in an API endpoint of HPE Networking Fabric Composer could allow an authenticated low privilege operator user to spoof the source address attributed to their requests. Successful exploitation could allow an attacker to cause inaccurate attribution information to be recorded on the affected system.

It is possible to read the advisory at support.hpe.com. The identification of this vulnerability is CVE-2026-73742 since 08/13/2026. 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 $5k-$25k at the moment (estimation calculated on 09/01/2026).

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

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

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Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.3

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

CNA Base Score: 4.3
CNA Vector (hpe): 🔒

CVSSv2info

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

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
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

08/13/2026 CVE reserved
09/01/2026 +19 days Advisory disclosed
09/01/2026 +0 days VulDB entry created
09/01/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: hpe.com

Advisory: support.hpe.com
Status: Not defined

CVE: CVE-2026-73742 (🔒)
GCVE (CVE): GCVE-0-2026-73742
GCVE (VulDB): GCVE-100-397895

Entryinfo

Created: 09/01/2026 23:29
Changes: 09/01/2026 23:29 (61)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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