Security readout for executives and security teams
Plain-English summary
A network-accessible ComfyUI 0.23.0 instance could let an unauthenticated attacker run Python code with the service account’s permissions. Successful exploitation could expose models, credentials, workflows, and connected data, alter system contents, or interrupt service.
Executive priority
Treat internet-exposed or broadly reachable instances as an immediate remediation priority. Patch promptly, restrict access while remediation proceeds, and investigate exposed systems for misuse. Internal, authenticated deployments remain important but may be prioritized after externally reachable instances based on verified controls.
Technical view
The LoadTrainingDataset node unsafely deserializes attacker-controlled pickle data through torch.load. An attacker can reportedly upload a crafted shard file through the unauthenticated image-upload route and reference it in a queued workflow, producing remote code execution without credentials or user interaction.
Likely exposure
Highest risk applies to ComfyUI 0.23.0 deployments reachable by untrusted networks where upload and workflow-queueing endpoints are unauthenticated and LoadTrainingDataset is available. The bundle’s structured affected-version value is incomplete, so broader version exposure should be confirmed through vendor guidance.
Exploitation context
CVSS 3.1 is 9.8: network-accessible, low complexity, no privileges, and no user interaction, with high confidentiality, integrity, and availability impact. The bundle marks KEV false and provides no evidence of active exploitation; public exploit availability is not established here.
Researcher notes
The reported trust-boundary failure combines unauthenticated file upload, unauthenticated workflow submission, and unsafe pickle deserialization. The source bundle identifies a patch commit but no fixed release number. Its affected-version metadata lists “0,” conflicting with the 0.23.0 title; confirm exact version ranges with current vendor records.
Mitigation direction
- Apply the vendor patch or upgrade to a release containing commit 94ee49b1612824366a8631ea069b2a1fa5c73720.
- Until patched, prevent untrusted network access to ComfyUI and require authentication through a trusted access layer.
- Restrict or disable affected upload, workflow-queueing, and LoadTrainingDataset functionality where operationally feasible.
- Rotate credentials accessible to the ComfyUI process if investigation identifies suspicious activity or possible compromise.
Validation and detection
- Inventory ComfyUI versions and identify deployments running 0.23.0 or otherwise lacking the cited patch.
- Confirm whether upload and workflow-queueing routes are reachable without authentication from untrusted networks.
- Verify the deployed code includes commit 94ee49b1612824366a8631ea069b2a1fa5c73720 or a vendor-confirmed equivalent fix.
- Review logs for unexpected uploads, shard pickle files, queued LoadTrainingDataset workflows, and anomalous child processes.
- Test access controls using benign requests only; do not upload serialized payloads to production systems.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-502: Code execution behavior lookup
Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupExecution behavior lookup
The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2026-68771 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Critical
- CVSS
- 9.8 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
SSVC decision data
CVSS vector scores
2 official scoresWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H3.95.9VulnCheckCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N——VulnCheckVulnerability scoring details
Base CVSS 4.0 score
9.3CriticalVector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Base CVSS 3.1 score
9.8CriticalVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Vulnerability timeline
Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.
- CVE reservedCVE Program
The CVE ID was reserved by the assigning CNA.
- CVE publishedCVE Program
The CVE record was published.
- CVE updatedCVE Program
The CVE record metadata indicates this as the latest update time.
ADP provider summaries
Source materials
- CVE List V5 sourceCVE List V5
- Pull RequestCVE reference, VulnCheck · vendor-advisory
- Product RepositoryCVE reference, VulnCheck · product
- Patch CommitCVE reference, VulnCheck · patch
- https://www.vulncheck.com/advisories/comfyui-unauthenticated-rce-via-loadtrainingdataset-pickle-deserializationCVE reference, VulnCheck · third-party-advisory
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Deserialization of Untrusted Data
Deserialization of Untrusted Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.