Comfy-Org ComfyUI up to 0.23.0 LoadTrainingDataset Node /upload/image torch.load deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 1.43 |
Summary
A vulnerability identified as critical has been detected in Comfy-Org ComfyUI up to 0.23.0. The affected element is the function torch.load of the file /upload/image of the component LoadTrainingDataset Node. Performing a manipulation results in deserialization.
This vulnerability is cataloged as CVE-2026-68771. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability, which was classified as critical, was found in Comfy-Org ComfyUI up to 0.23.0. This affects the function torch.load of the file /upload/image of the component LoadTrainingDataset Node. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
ComfyUI v0.23.0 contains an unsafe deserialization vulnerability in the LoadTrainingDataset node that allows unauthenticated remote attackers to execute arbitrary Python code by uploading a crafted pickle file and triggering its deserialization. Attackers can upload a malicious shard_*.pkl file via the unauthenticated POST /upload/image endpoint and then queue a workflow graph via POST /prompt referencing the uploaded file, causing torch.load to deserialize the attacker-controlled pickle payload using __reduce__ and execute arbitrary commands as the ComfyUI process user.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-68771 since 07/31/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are known, but no exploit is available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/01/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-51652). If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
07/31/2026 Advisory disclosed07/31/2026 CVE reserved
07/31/2026 VulDB entry created
08/01/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-68771 (🔒)
GCVE (CVE): GCVE-0-2026-68771
GCVE (VulDB): GCVE-100-385149
EUVD: 🔒
Entry
Created: 07/31/2026 23:57Updated: 08/01/2026 00:36
Changes: 07/31/2026 23:57 (55), 08/01/2026 00:36 (2)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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