Security Resilience

CVE-2024-12070

DoS in Hliu Large Language And Vision Assistant 1.2.0

Public PoCDoS
Published
20 March 2025
Modified
14 July 2025
CVSS Score v3 7.5
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0088 58th percentile
Risk Priority 59 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-12070 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Hliu Large Language And Vision Assistant. Its CVSS base score is 7.5 (High).

Operationally, ranked in the top 42% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to SC-5 (Denial-of-service Protection) and SC-6 (Resource Availability) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

A Denial of Service (DoS) vulnerability exists in the file upload feature of haotian-liu/llava, specifically in Release v1.2.0 (LLaVA-1.6). The vulnerability is due to improper handling of form-data with a large filename in the file upload request. By sending a…

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payload with an excessively large filename, the server becomes overwhelmed and unresponsive, leading to unavailability for legitimate users. This issue can be exploited without authentication, making it highly scalable and increasing the risk of exploitation.

CWE(s)

Related Threats

CVEs Like This One

CVE-2024-9311Same product: Hliu Large Language And Vision Assistant
CVE-2024-11449Same product: Hliu Large Language And Vision Assistant
CVE-2024-12068Same vendor: Hliu
CVE-2024-9308Same vendor: Hliu
CVE-2024-10225Same vendor: Hliu
CVE-2024-9309Same vendor: Hliu
CVE-2023-23689Shared CWE-400
CVE-2023-37788Shared CWE-400
CVE-2026-42342Shared CWE-400
CVE-2026-21950Shared CWE-400

Affected Assets

hliu
large language and vision assistant
1.2.0

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

SC-5 directly limits the effects of resource-exhaustion events that constitute uncontrolled consumption.

SC-6 enforces explicit allocation limits on resources, structurally preventing the weakness from occurring.

Process isolation confines resource consumption to separate domains, reducing blast radius without stopping the root flaw.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Pre-agreed severity-based prioritization and resource allocation during incident triage reduce the likelihood that an attacker-induced resource exhaustion will overwhelm the organization before corrective action is taken.

finds

Early notification of anomalous resource consumption or system malfunctions enables throttling or isolation before availability is lost.

A.8.15 Logging partial match
finds

Specifying log storage limits and rotation procedures reduces the risk that unbounded log growth will exhaust disk or memory resources and cause denial of service.

finds

Resource-utilization monitoring and alerting on bottlenecks or overloads limits the impact of denial-of-service or resource-exhaustion attacks.

blocks

A.8.20 implements network-level protections (firewalls, segmentation, protocol hardening, monitoring, authentication of systems/devices) that can limit abuse of a resource-consuming weakness but do not stop the weakness from being exploitable; the flaw remains present in the product and can still be triggered from an authorized or internal context.

blocks

Monitoring network service usage and applying controls to restrict access when necessary limits an attacker’s ability to consume excessive resources through unrestricted or unauthenticated service calls.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-400, a class-level weakness. Rules are authored against its narrower children: CWE-770.

References