VulnerabilityPublished 17 Sep 2024Updated 20 Nov 2025

CVE-2024-8939: Uncontrolled Resource Consumption

Source CVE Database V5

Not known to be exploited · CVSS 6.2 Medium.

Data as of 26 Oct 2026, 08:30 UTC

CVSS 3.1 base score

6.2Medium

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

EPSS: 0.2% chance of exploitation in 30 days – higher than 14% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

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

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

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

Attack Vector: Local: The vulnerable component is not bound to the network stack and the attacker’s path is via read/write/execute capabilities. Either: the attacker exploits the vulnerability by accessing the target system locally (e.g., keyboard, console), or remotely (e.g., SSH); or the attacker relies on User Interaction by another person to perform actions required to exploit the vulnerability (e.g., tricking a legitimate user into opening a malicious document).
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: None: There is no loss of integrity within the impacted component.
Availability: High: There is total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable).

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 17 Sep 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 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

AI-suggested

To mitigate CVE-2024-8939, organizations should implement strict input validation and enforce upper limits on the best_of parameter to prevent excessively large values. Introducing resource usage quotas and timeouts for API requests that trigger LLM completions is critical to avoid uncontrolled resource consumption. Monitoring and alerting on unusual API usage patterns, such as spikes in best_of values or resource utilization, can help detect exploitation attempts early. If possible, restrict access to the vulnerable API to trusted users or networks to reduce the attack surface. Applying patches or updates from the ilab model serve vendor once available is essential. In the absence of official patches, consider deploying runtime protections such as container resource limits, CPU and memory cgroups, or API gateway rate limiting. Conduct regular security assessments and penetration testing focused on API abuse scenarios. Finally, maintain an incident response plan to quickly address any DoS incidents caused by this vulnerability.

Description

A vulnerability was found in the ilab model serve component, where improper handling of the best_of parameter in the vllm JSON web API can lead to a Denial of Service (DoS). The API used for LLM-based sentence or chat completion accepts a best_of parameter to return the best completion from several options. When this parameter is set to a large value, the API does not handle timeouts or resource exhaustion properly, allowing an attacker to cause a DoS by consuming excessive system resources. This leads to the API becoming unresponsive, preventing legitimate users from accessing the service.

Impact

The primary impact of CVE-2024-8939 is a Denial of Service condition caused by resource exhaustion. Organizations running the vulnerable ilab model serve component risk service outages, degraded performance, and loss of availability for users relying on LLM-based sentence or chat completion services. This can disrupt business operations, customer interactions, and automated workflows dependent on these AI services. Since the vulnerability does not affect confidentiality or integrity, data breaches or unauthorized data modifications are not a concern. However, the availability impact can be significant, especially for organizations with high dependency on these AI APIs. Attackers with local access can exploit this to cause service downtime, potentially as part of a larger attack chain or to disrupt critical AI-driven applications. The lack of authentication requirement lowers the barrier for exploitation in local or semi-trusted environments. Overall, the threat affects service reliability and user experience, which can have downstream effects on organizational productivity and reputation.

References

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