CVE-2026-5971 (GCVE-0-2026-5971)
Vulnerability from cvelistv5 – Published: 2026-04-09 18:00 – Updated: 2026-04-13 20:14
VLAI
EPSS
VEX
Title
FoundationAgents MetaGPT XML action_node.py ActionNode.xml_fill eval injection
Summary
A flaw has been found in FoundationAgents MetaGPT up to 0.8.1. This vulnerability affects the function ActionNode.xml_fill of the file metagpt/actions/action_node.py of the component XML Handler. Executing a manipulation can lead to improper neutralization of directives in dynamically evaluated code. The attack may be launched remotely. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-13 20:14 UTC
CWE
Assigner
VulDB
CNA
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/356525 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/356525/cti | signaturepermissions-required |
| https://vuldb.com/submit/791734 | third-party-advisory |
| https://github.com/FoundationAgents/MetaGPT/issues/1928 | exploitissue-tracking |
| https://github.com/FoundationAgents/MetaGPT/issues/1956 | issue-tracking |
| https://github.com/FoundationAgents/MetaGPT/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| FoundationAgents | MetaGPT |
Affected:
0.8.0
Affected: 0.8.1 |
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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