CVE-2024-10330VulnerabilityPublished 20 Mar 2025Updated 15 Oct 2025

CVE-2024-10330: lunary-ai/lunary · Missing Authorization

Affects lunary-ai/lunarySource CVE Database V5

Not known to be exploited · CVSS 6.5 Medium.

Data as of 26 Oct 2026, 08:30 UTC

CVSS 3.0 base score

6.5Medium

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

EPSS: 0.5% chance of exploitation in 30 days – higher than 44% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

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

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: Low: The attacker is authorized with (i.e., requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.
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: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 20 Mar 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 26 Oct 2026.

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
GitHublunary-ai/lunary`pkg:github/lunary-ai/lunary`Other threats	Affected =1.5.6	Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

To mitigate CVE-2024-10330, organizations should first verify the version of lunary-ai/lunary in use and upgrade to a patched version once available. In the absence of an official patch, implement strict role-based access control (RBAC) on the /v1/evaluators/ endpoint to ensure only authorized roles can access evaluator data. This can be achieved by modifying API gateway policies or backend authorization logic to enforce least privilege principles. Additionally, conduct a thorough audit of all API endpoints to identify and remediate similar missing authorization issues. Enable detailed logging and monitoring of API access to detect anomalous requests or unauthorized data retrieval attempts. Employ network segmentation to limit access to the lunary-ai/lunary service to trusted users and systems. Educate developers and security teams on secure API design practices, emphasizing the importance of authorization checks. Finally, review and update internal security policies to include regular security assessments of third-party tools and dependencies.

Description

In lunary-ai/lunary version 1.5.6, the `/v1/evaluators/` endpoint lacks proper access control, allowing any user associated with a project to fetch all evaluator data regardless of their role. This vulnerability permits low-privilege users to access potentially sensitive evaluation data.

Impact

For European organizations, the primary impact of CVE-2024-10330 is the unauthorized disclosure of sensitive evaluator data, which could include proprietary AI model evaluations, performance metrics, or other confidential project information. This breach of confidentiality could lead to competitive disadvantage, intellectual property theft, or regulatory non-compliance, especially under GDPR which mandates strict data protection measures. Although the vulnerability does not affect data integrity or system availability, the exposure of sensitive data can damage trust and reputation. Organizations in sectors such as AI research, software development, and data analytics that rely on lunary-ai/lunary are particularly at risk. The ease of exploitation without user interaction and low privilege requirements increase the likelihood of insider threats or lateral movement by attackers who have gained minimal access. The absence of known exploits in the wild reduces immediate risk but does not eliminate the potential for future attacks. European entities must consider the sensitivity of the exposed data and the regulatory implications of unauthorized access when assessing the impact.

CWE-862Missing Authorization (opens in a new tab)
Class weaknessLikelihood of exploit: HighCWE Top 25 (2025): #4OWASP Top 10 A01:2025: Broken Access Control (opens in a new tab)
The product does not perform an authorization check when an actor attempts to access a resource or perform an action.
Architecture and Design
Divide the product into anonymous, normal, privileged, and administrative areas. Reduce the attack surface by carefully mapping roles with data and functionality. Use role-based access control (RBAC) to enforce the roles at the appropriate boundaries.
Architecture and Design
Ensure that access control checks are performed related to the business logic. These checks may be different than the access control checks that are applied to more generic resources such as files, connections, processes, memory, and database records.
Architecture and Design · Libraries or Frameworks
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
OWASP Cheat Sheets
Authorization (opens in a new tab)
OWASP ASVS 4.0.3
V8.3.8 (opens in a new tab)
V13.4.2 (opens in a new tab)
V7.2.2 (opens in a new tab)
Attack patterns
Exploitation of Thunderbolt Protection Flaws (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 15 Oct 2025, 13:13 UTC

WeaknessesCWE-862

Technical details

References

Community reviews

Related threats