CVE-2026-12822 (GCVE-0-2026-12822)
Vulnerability from cvelistv5 – Published: 2026-06-21 23:30 – Updated: 2026-06-23 13:39
VLAI
EPSS
VEX
Title
langflow-ai langflow Bundle URL Loader code injection
Summary
A vulnerability was identified in langflow-ai langflow up to 1.9.3. This affects an unknown function of the component Bundle URL Loader. The manipulation leads to code injection. The attack needs to be performed locally. 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 · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 13:38 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/372612 | vdb-entry |
| https://vuldb.com/vuln/372612/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-12822 | third-party-advisory |
| https://vuldb.com/submit/837582 | third-party-advisory |
| https://github.com/dxz0069/softwareoverflow/blob/… | related |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| langflow-ai | langflow |
Affected:
1.9.0
Affected: 1.9.1 Affected: 1.9.2 Affected: 1.9.3 cpe:2.3:a:langflow:langflow:*:*:*:*:*:*:*:* |
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Sightings
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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.
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.