CVE-2026-10223 (GCVE-0-2026-10223)
Vulnerability from cvelistv5 – Published: 2026-06-01 04:15 – Updated: 2026-06-01 14:56
VLAI
EPSS
VEX
Title
NousResearch hermes-agent memory_tool.py _scan_memory_content injection
Summary
A weakness has been identified in NousResearch hermes-agent up to 2026.4.30. This affects the function _scan_memory_content of the file tools/memory_tool.py. This manipulation causes injection. The attack can be initiated remotely. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/367502 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/367502/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-10223 | third-party-advisory |
| https://vuldb.com/submit/822021 | third-party-advisory |
| https://gist.github.com/YLChen-007/a1fb77ad2488c5… | exploit |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NousResearch | hermes-agent |
Affected:
2026.4.0
Affected: 2026.4.1 Affected: 2026.4.2 Affected: 2026.4.3 Affected: 2026.4.4 Affected: 2026.4.5 Affected: 2026.4.6 Affected: 2026.4.7 Affected: 2026.4.8 Affected: 2026.4.9 Affected: 2026.4.10 Affected: 2026.4.11 Affected: 2026.4.12 Affected: 2026.4.13 Affected: 2026.4.14 Affected: 2026.4.15 Affected: 2026.4.16 Affected: 2026.4.17 Affected: 2026.4.18 Affected: 2026.4.19 Affected: 2026.4.20 Affected: 2026.4.21 Affected: 2026.4.22 Affected: 2026.4.23 Affected: 2026.4.24 Affected: 2026.4.25 Affected: 2026.4.26 Affected: 2026.4.27 Affected: 2026.4.28 Affected: 2026.4.29 Affected: 2026.4.30 cpe:2.3:a:nousresearch:hermes-agent:*:*:*:*:*:*:*:* |
Credits
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This affects the function _scan_memory_content of the file tools/memory_tool.py. This manipulation causes injection. The attack can be initiated remotely. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-74\", \"description\": \"Injection\"}]}, {\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-707\", \"description\": \"Improper Neutralization\"}]}], \"providerMetadata\": {\"orgId\": \"1af790b2-7ee1-4545-860a-a788eba489b5\", \"shortName\": \"VulDB\", \"dateUpdated\": \"2026-06-01T04:15:05.930Z\"}}}",
"cveMetadata": "{\"cveId\": \"CVE-2026-10223\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-06-01T14:56:52.653Z\", \"dateReserved\": \"2026-05-31T07:51:29.252Z\", \"assignerOrgId\": \"1af790b2-7ee1-4545-860a-a788eba489b5\", \"datePublished\": \"2026-06-01T04:15:05.930Z\", \"assignerShortName\": \"VulDB\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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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.
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