CVE-2025-37106VulnerabilityPublished 16 Jul 2025Updated 18 Jul 2025

CVE-2025-37106: Hewlett Packard Enterprise HPE AutoPass License Server · Vulnerability

Affects Hewlett Packard Enterprise HPE AutoPass License ServerSource CVE Database V5

Not known to be exploited · CVSS 7.3 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score

7.3High

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.5% chance of exploitation in 30 days – higher than 45% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: None
Scope: Unchanged
Confidentiality: Low
Integrity: Low
Availability: Low

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the impacted component.
Integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact on the impacted component.
Availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 16 Jul 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
Hewlett Packard Enterprise HPE AutoPass License Server	Affected =0	Fixed in–

AI-suggested

Organizations should immediately inventory their use of HPE AutoPass License Server and identify versions prior to 9.18. Although no patches are currently linked, it is critical to monitor Hewlett Packard Enterprise's official channels for updates or security advisories addressing CVE-2025-37106. In the interim, restrict network access to the license server to trusted management networks only, employing network segmentation and firewall rules to limit exposure. Implement strict monitoring and logging of access attempts to the license server to detect anomalous or unauthorized activity. Employ intrusion detection/prevention systems (IDS/IPS) with signatures or heuristics tuned to detect exploitation attempts. Consider deploying application-layer gateways or reverse proxies that can enforce additional authentication or filtering controls. Conduct regular audits of license server configurations and access controls to ensure adherence to the principle of least privilege. Finally, prepare incident response plans specific to potential exploitation scenarios of this vulnerability.

Description

An authentication bypass and disclosure of information vulnerability exists in HPE AutoPass License Server (APLS) prior to 9.18.

Impact

For European organizations, the impact of this vulnerability can be significant, especially for enterprises relying on HPE AutoPass License Server to manage software licenses across their IT infrastructure. Unauthorized access could lead to license misuse, resulting in compliance violations and financial penalties. Disclosure of license server data may expose internal licensing arrangements or configurations, potentially aiding further attacks. Disruption of license services could impact business operations, particularly in sectors with strict software compliance requirements such as finance, healthcare, and government. Given the network-based attack vector and no requirement for authentication or user interaction, attackers could remotely exploit this vulnerability, increasing the risk of widespread impact. Organizations with complex licensing environments or those using HPE products extensively are at higher risk. Additionally, the vulnerability could be leveraged as a foothold for lateral movement within networks, escalating the severity of potential breaches.

CWE-287Improper Authentication (opens in a new tab)
Class weaknessLikelihood of exploit: HighOWASP Top 10 A07:2025: Authentication Failures (opens in a new tab)
When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct.
MITRE discourages mapping vulnerabilities to this broad entry; the root cause is usually a more specific weakness.
Architecture and Design · Libraries or Frameworks
Use an authentication framework or library such as the OWASP ESAPI Authentication feature.
OWASP Cheat Sheets
OWASP Authentication (opens in a new tab)
OWASP ASVS 4.0.3
V2.8.5 (opens in a new tab)
V2.8.4 (opens in a new tab)
V9.2.3 (opens in a new tab)
Attack patterns
Fake the Source of Data (opens in a new tab)
Utilizing REST's Trust in the System Resource to Obtain Sensitive Data (opens in a new tab)
Session Hijacking (opens in a new tab)
Token Impersonation (opens in a new tab)
Upload a Web Shell to a Web Server (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

support.hpe.com/hpesc/public/docDisplay?docId=hpesbgn04877en_us (opens in a new tab)

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 24 Jul 2025, 01:02 UTC

WeaknessesCWE-287

Technical details

References

Community reviews

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