What it is
CVE-2026-33497 is an unauthenticated vulnerability affecting langflow-ai langflow. Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.1, in the download_profile_picture...
Vulnerability report
langflow
langflow-ai / langflow · affected before 1.7.1
Decision summary
Direct answers before the deeper technical record.
What it is
CVE-2026-33497 is an unauthenticated vulnerability affecting langflow-ai langflow. Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.1, in the download_profile_picture...
Is it exploited?
Yes. KEV Intelligence sensors observed exploitation attempts with confirmed confidence.
Who is affected?
langflow-ai / langflow affected before 1.7.1.
What should we do?
Patch immediately, validate internet-facing exposure, and monitor for matching requests.
Overview
Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.1, in the download_profile_picture function of the /profile_pictures/{folder_name}/{file_name} endpoint, the folder_name and file_name parameters are not strictly filtered, which allows the secret_key to be read across directories.
Version 1.7.1 contains a patch.
Exploitation evidence
Third-party attestation and first-party sensor observation are shown separately so teams can judge the evidence chain.
KEV Intelligence
Independent exploitation attestation added to the KEV Intelligence record.
KEV Intelligence sensor
First-party sensor telemetry confirms matching exploitation attempts.
Nuclei Templates
Public scanner or PoC coverage increases practical exploitability.
Per-source evidence links for KEV attestations are available through the KEV Intelligence Pro API.
Learn about Pro API access| Source | Added |
|---|---|
| KEV Intelligence First | 2026-08-11 12:08 UTC |
Operational indicators for this CVE are listed under Detection.
Sensor telemetry
Aggregate observations show the scale, recency, and distribution of activity without overstating sparse data.
1
Attempts observed
1
Unique attacker IPs
1
Attacker countries
NL
1
Sensors observed
Exploitation attempts over the last 7 days
Daily events observed by KEV Intelligence sensors
Updated 11 Aug 2026
First observed 11 Aug 2026 · Last observed 11 Aug 2026
Pro adds sensor region and window summaries. Enterprise adds raw IPs, paths, User-Agents, and payloads.
Detection
Make the evidence actionable in scanner, SOC, and edge-control workflows.
Raw values available in Pro and Enterprise.
Nuclei template detected 22 Jul 2026.
View Nuclei template (opens in new tab)No KEV Intelligence virtual patch is currently available. Future rules ship for ModSecurity, Cloudflare, and AWS WAF.
Learn about virtual patches →Attacker IP indicators observed · available in Pro and Enterprise.
Sensor-derived attacker IP indicators are available to Pro and Enterprise accounts under Detection and through the Pro API.
Learn about Pro API accessScanner and exploit-framework references linked to this CVE.
| Scanner | Reference | Detected |
|---|---|---|
| Nuclei | https://github.com/projectdiscovery/nuclei-templates/blob/main/http/cves/2026/CVE-2026-33497.yaml | 22 Jul 2026 |
Risk and context
CVSS v4.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
EPSS
19.6%
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
These PoCs are unverified and could contain malware. Use at your own risk.
nuclei · Created Unknown
Timeline
Evidence-backed exploitation signal
Indicators of compromise recorded
Public proof-of-concept code published
Scanner coverage available
Vulnerability disclosed publicly
Identifier reserved by the CNA
Pro API
Confidence, exploit status, sensor telemetry, PoCs, scanner integrations, mentions, and tags are available programmatically for VM, SOC, and CTI workflows.
GET /api/v2/pro/kevs/CVE-2026-33497
Free JSON includes basic KEV fields{
"cve_id": "CVE-2026-33497",
"confidence": "Confirmed",
"cvss_score": 8.7,
"epss_score": 0.19584,
"exploit_status": {
"exploited_in_the_wild": true,
"active_exploitation_observed": true
},
"sensor_telemetry": { "attempts": 1, "sensors": 1 }
}