huggingface text-generation-inference up to 3.3.6 Markdown Image Link resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in huggingface text-generation-inference up to 3.3.6 and classified as problematic. Affected by this issue is some unknown functionality of the component Markdown Image Link Handler. Such manipulation leads to resource consumption. This vulnerability is listed as CVE-2026-0599. The attack may be performed from remote. There is no available exploit. It is suggested to upgrade the affected component.
Details
A vulnerability was found in huggingface text-generation-inference up to 3.3.6. It has been rated as problematic. Affected by this issue is an unknown code of the component Markdown Image Link Handler. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. CVE summarizes:
A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET request, reading the entire response body into memory and cloning it before decoding. This behavior can lead to resource exhaustion, including network bandwidth saturation, memory inflation, and CPU overutilization. The vulnerability is triggered even if the request is later rejected for exceeding token limits. The default deployment configuration, which lacks memory usage limits and authentication, exacerbates the impact, potentially crashing the host machine. The issue is resolved in version 3.3.7.
The advisory is available at huntr.com. This vulnerability is handled as CVE-2026-0599 since 01/05/2026. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. The technical details are unknown and an exploit is not available. This vulnerability is assigned to T1499 by the MITRE ATT&CK project.
Upgrading to version 3.3.7 eliminates this vulnerability. Applying the patch 24ee40d143d8d046039f12f76940a85886cbe152 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
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Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (@huntr_ai): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: text-generation-inference 3.3.7
Patch: 24ee40d143d8d046039f12f76940a85886cbe152
Timeline
01/05/2026 CVE reserved02/02/2026 Advisory disclosed
02/02/2026 VulDB entry created
02/02/2026 VulDB entry last update
Sources
Product: github.comAdvisory: huntr.com
Status: Confirmed
CVE: CVE-2026-0599 (🔒)
GCVE (CVE): GCVE-0-2026-0599
GCVE (VulDB): GCVE-100-343718
Entry
Created: 02/02/2026 13:34Changes: 02/02/2026 13:34 (66)
Complete: 🔍
Cache ID: 216::103
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