How severe is CVE-2026-73487?

CVE-2026-73487 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2026-73487 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (54th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-73487?

CVE-2026-73487 affects Flowiseai Flowise. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-73487?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its critical severity, prioritise patching exposed systems.

When was CVE-2026-73487 published?

CVE-2026-73487 was published on 2026-08-13 and last updated on 2026-09-03.

CVE-2026-73487

CVE-2026-73487 is a critical-severity vulnerability in Flowiseai Flowise with a CVSS 3.x base score of 9.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-94.

Key facts

Severity: Critical (CVSS 3.x base score 9.8)
CVSS v4: 9.0
EPSS exploit prediction: 1% (54th percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-94
Affected product: Flowiseai Flowise
Published: 2026-08-13
Last modified: 2026-09-03

Description

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.

Frequently asked questions

What is CVE-2026-73487?: 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.
How severe is CVE-2026-73487?: CVE-2026-73487 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2026-73487 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (54th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-73487?: CVE-2026-73487 affects Flowiseai Flowise. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-73487?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its critical severity, prioritise patching exposed systems.
When was CVE-2026-73487 published?: CVE-2026-73487 was published on 2026-08-13 and last updated on 2026-09-03.

References

Affected products (1)

cpe:2.3:a:flowiseai:flowise:*:*:*:*:*:*:*:*

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Threat intelligence

Threat-intel indicators referencing this CVE:

18.228.228.159 (ipv4-addr)
3.19.213.118 (ipv4-addr)