CVE-2026-97869 (GCVE-0-2026-97869)
Vulnerability from cvelistv5 – Published: 2026-09-25 15:15 – Updated: 2026-09-25 16:37
VLAI
EPSS
VEX
Title
langchain4j LangChain4j-agentic AgenticScopeJsonSerializationIT.java AgenticScopeSerializer.fromJson deserialization
Summary
A flaw has been found in langchain4j up to 1.5.3-beta10/1.11.10-beta18/1.18.1-beta27. This vulnerability affects the function AgenticScopeSerializer.fromJson of the file AgenticScopeJsonSerializationIT.java of the component LangChain4j-agentic. This manipulation causes deserialization. Remote exploitation of the attack is possible. The attack's complexity is rated as high. It is stated that the exploitability is difficult. The exploit has been published and may be used. Upgrading to version 1.5.3-beta11, 1.11.10-beta19 and 1.18.1-beta28 is able to resolve this issue. Upgrading the affected component is advised. The project maintainer kindly explains: "The issue was reported to us privately on 23 July 2026 and fixed in releases published on 29 July 2026. It is tracked as GHSA-gmwr-7wmf-mrjm. Exploitation requires an application to have enabled AgenticScope persistence, which is opt-in, and an attacker who can already write to that store. All maintained release lines have been patched."
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-25 16:37 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/409886 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/409886/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-97869 | third-party-advisory |
| https://vuldb.com/submit/911825 | third-party-advisory |
| https://github.com/langchain4j/langchain4j/securi… | related |
| https://github.com/afish3201-debug/CVE/blob/main/… | exploit |
| https://github.com/langchain4j/langchain4j/releas… | patch |
| https://github.com/langchain4j/langchain4j/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | langchain4j |
Affected:
1.5.3-beta10
Affected: 1.11.10-beta18 Affected: 1.18.1-beta27 Unaffected: 1.5.3-beta11 Unaffected: 1.11.10-beta19 Unaffected: 1.18.1-beta28 cpe:2.3:a:langchain4j:langchain4j:*:*:*:*:*:*:*:* |
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],
"url": "https://github.com/langchain4j/langchain4j/releases/tag/1.18.1"
},
{
"tags": [
"product"
],
"url": "https://github.com/langchain4j/langchain4j/"
}
],
"timeline": [
{
"lang": "en",
"time": "2026-09-25T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2026-09-25T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2026-09-25T10:36:29.000Z",
"value": "VulDB entry last update"
}
],
"title": "langchain4j LangChain4j-agentic AgenticScopeJsonSerializationIT.java AgenticScopeSerializer.fromJson deserialization",
"x_generator": [
"VulDB PVTS v202609"
]
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2026-97869",
"datePublished": "2026-09-25T15:15:10.459Z",
"dateReserved": "2026-09-25T08:26:45.370Z",
"dateUpdated": "2026-09-25T16:37:25.585Z",
"state": "PUBLISHED"
},
"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.
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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