CVE-2026-73487 (GCVE-0-2026-73487)
Vulnerability from cvelistv5 – Published: 2026-08-13 11:28 – Updated: 2026-08-13 11:28
VLAI
EPSS
VEX
Title
Flowise before 3.1.3 Prompt Injection RCE via CSV Agent
Summary
Flowise before 3.1.3 contains a regex-based Python code validator bypass in CSV and Airtable Agent nodes that allows unauthenticated attackers to inject malicious code via prompt injection. Attackers can exploit unblocked pandas functions like pd.read_json() to exfiltrate datasets, perform SSRF against internal services, or achieve code execution through the unauthenticated prediction API.
Severity
CWE
- CWE-94 - Improper Control of Generation of Code ('Code Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/FlowiseAI/Flowise/security/adv… | vendor-advisory |
| https://www.vulncheck.com/advisories/flowise-befo… | third-party-advisory |
Impacted products
Date Public
2026-07-29 00:00
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"credits": [
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"datePublic": "2026-07-29T00:00:00.000Z",
"descriptions": [
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}
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"metrics": [
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"attackRequirements": "NONE",
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"baseScore": 9,
"baseSeverity": "CRITICAL",
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"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "HIGH",
"subIntegrityImpact": "LOW",
"userInteraction": "NONE",
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"problemTypes": [
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"descriptions": [
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"providerMetadata": {
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"name": "GitHub Security Advisory (GHSA-w7x8-q2gp-5cgg)",
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],
"url": "https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-w7x8-q2gp-5cgg"
},
{
"name": "VulnCheck Advisory: Flowise before 3.1.3 Prompt Injection RCE via CSV Agent",
"tags": [
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"url": "https://www.vulncheck.com/advisories/flowise-before-prompt-injection-rce-via-csv-agent"
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"dateReserved": "2026-08-12T18:19:17.025Z",
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}
}
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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.
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.
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