VulnerabilityPublished 27 Jun 2024Updated 15 Oct 2025

CVE-2024-6086: lunary-ai/lunary · Incorrect Authorization

Affects lunary-ai/lunarySource CVE Database V5

Not known to be exploited · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.0 base score

5.3Medium

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

EPSS: 0.4% chance of exploitation in 30 days – higher than 34% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

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

Attack Vector: Network
Attack Complexity: Low
Privileges Required: None
User Interaction: None
Scope: Unchanged
Confidentiality: None
Integrity: Low
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: 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: None: There is no loss of confidentiality within 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: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 27 Jun 2024
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 or the CVSS exploit maturity 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 =1.2.7	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-2024-6086, organizations should first verify if they are using affected versions of lunary-ai/lunary and restrict access to the platform to trusted users only. 2) Temporarily restrict or disable the ability of low-privilege roles like 'Prompt Editor' to modify organization-level attributes through configuration or custom access policies if supported. 3) Monitor logs for unauthorized changes to organization data and set up alerts for suspicious activity. 4) Engage with the vendor or community to obtain updates or patches addressing the missing checkAccess() implementation. 5) Conduct internal audits of role assignments and permissions to ensure least privilege principles are applied. Once a patch is released, promptly apply it and validate that proper access control checks are enforced. Additionally, educate users about the risks of unauthorized changes and maintain incident response plans to address potential exploitation.

Description

In version 1.2.7 of lunary-ai/lunary, any authenticated user, regardless of their role, can change the name of an organization due to improper access control. The function checkAccess() is not implemented, allowing users with the lowest privileges, such as the 'Prompt Editor' role, to modify organization attributes without proper authorization.

Impact

For European organizations, the primary impact of CVE-2024-6086 is the unauthorized modification of organizational data integrity within the lunary-ai/lunary platform. While confidentiality and availability remain unaffected, the ability for low-privilege users to alter organization names could lead to administrative errors, misrepresentation, or internal trust issues. In regulated industries or sectors with strict compliance requirements (e.g., finance, healthcare, government), such unauthorized changes might complicate audit trails or violate governance policies. Additionally, if attackers leverage this flaw as part of a broader attack chain, it could facilitate social engineering or phishing by creating misleading organizational contexts. The lack of known exploits reduces immediate risk, but the vulnerability's low complexity and network accessibility mean it could be exploited if discovered by malicious actors. European organizations using lunary-ai/lunary, especially those with multiple user roles and complex organizational structures, should consider this a moderate risk that warrants timely remediation.

CWE-863Incorrect Authorization (opens in a new tab)
Class weaknessLikelihood of exploit: HighCWE Top 25 (2025): #17OWASP Top 10 A01:2025: Broken Access Control (opens in a new tab)
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check.
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)
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, 13:38 UTC

WeaknessesCWE-863

Technical details

References

Community reviews

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