CVE-2025-13806 (GCVE-0-2025-13806)
Vulnerability from cvelistv5 – Published: 2025-12-01 04:02 – Updated: 2026-02-24 06:39
VLAI
EPSS
VEX
Title
nutzam NutzBoot Transaction API EthModule.java improper authorization
Summary
A security vulnerability has been detected in nutzam NutzBoot up to 2.6.0-SNAPSHOT. This impacts an unknown function of the file nutzboot-demo/nutzboot-demo-simple/nutzboot-demo-simple-web3j/src/main/java/io/nutz/demo/simple/module/EthModule.java of the component Transaction API. The manipulation of the argument from/to/wei leads to improper authorization. Remote exploitation of the attack is possible. The exploit has been disclosed publicly and may be used.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-01 14:48 UTC
Assigner
VulDB
CNA
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.333816 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.333816 | signaturepermissions-required |
| https://vuldb.com/?submit.692061 | third-party-advisory |
| https://github.com/Xzzz111/exps/blob/main/archive… | broken-link |
| https://github.com/Xzzz111/exps/blob/main/archive… | broken-linkexploit |
Impacted products
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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
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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