CVE-2026-90690 (GCVE-0-2026-90690)
Vulnerability from cvelistv5 – Published: 2026-09-14 06:30 – Updated: 2026-09-16 14:46
VLAI
EPSS
VEX
Title
0x4m4 HexStrike AI API Tools Endpoint hexstrike_server.py subprocess.Popen os command injection
Summary
A weakness has been identified in 0x4m4 HexStrike AI up to d689933ff579d839c676c82b231f8e98326c5f04. The affected element is the function subprocess.Popen of the file hexstrike_server.py of the component API Tools Endpoint. Executing a manipulation of the argument additional_args/target/username/password/scan_type/payload can lead to os command injection. The attack can be launched remotely. The exploit has been made available to the public and could be used for attacks. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. A fix appears to be in progress.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-16 14:45 UTC
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/403223 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/403223/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-90690 | third-party-advisory |
| https://vuldb.com/submit/914892 | third-party-advisory |
| https://github.com/0x4m4/hexstrike-ai/issues/224 | exploitissue-tracking |
| https://github.com/0x4m4/hexstrike-ai/pull/266 | issue-trackingpatch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| 0x4m4 | HexStrike AI |
Affected:
d689933ff579d839c676c82b231f8e98326c5f04
cpe:2.3:a:0x4m4:hexstrike_ai:*:*:*:*:*:*:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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