CVE-2026-55255 Microsoft Sentinel · KQL

Detect Langflow IDOR: Unauthorized Access to Another User's Flow via /api/v1/responses in Microsoft Sentinel

CVE-2026-55255 is a critical IDOR (Insecure Direct Object Reference) vulnerability in Langflow versions prior to 1.9.1. An authenticated attacker can enumerate and access another user's flow data by manipulating object identifiers in requests to the /api/v1/responses endpoint. With a CVSS score of 9.9, this vulnerability allows horizontal privilege escalation between users, potentially exposing sensitive AI flow configurations, credentials embedded in flows, and proprietary automation logic.

MITRE ATT&CK

Tactic
Credential Access Collection

KQL Detection Query

Microsoft Sentinel (KQL)
kusto
union isfuzzy=true
    AzureDiagnostics,
    AppServiceHTTPLogs
| where TimeGenerated >= ago(24h)
| where requestUri_s has "/api/v1/responses"
    or CsUriStem has "/api/v1/responses"
| extend UriStem = coalesce(requestUri_s, CsUriStem)
| extend StatusCode = coalesce(sc_status_d, ScStatus)
| extend CallerIP = coalesce(clientIP_s, CIp)
| extend UserAgent = coalesce(userAgent_s, CsUserAgent)
| where StatusCode == 200
| summarize
    RequestCount = count(),
    DistinctFlowIds = dcount(extract(@"responses/([^/?]+)", 1, UriStem)),
    FlowIdList = make_set(extract(@"responses/([^/?]+)", 1, UriStem), 100),
    FirstSeen = min(TimeGenerated),
    LastSeen = max(TimeGenerated)
    by CallerIP, UserAgent, bin(TimeGenerated, 10m)
| where DistinctFlowIds >= 5
| extend Severity = case(
    DistinctFlowIds >= 20, "Critical",
    DistinctFlowIds >= 10, "High",
    "Medium"
  )
| project FirstSeen, LastSeen, CallerIP, UserAgent, RequestCount, DistinctFlowIds, FlowIdList, Severity
critical severity medium confidence

Detects potential IDOR exploitation against Langflow /api/v1/responses by identifying authenticated sessions that enumerate large numbers of distinct flow IDs within a short window, indicating systematic object reference manipulation.

Data Sources

Azure Application Gateway LogsApp Service HTTP LogsWeb Application Firewall LogsAzure Diagnostics

Required Tables

AzureDiagnosticsAppServiceHTTPLogs

False Positives & Tuning

  • Langflow administrators or power users legitimately browsing many flows via the UI
  • Automated integration pipelines that poll multiple flow results in bulk
  • Load testing or health-check scripts that iterate over known flow IDs
  • Langflow platform itself performing internal result aggregation across flows

Other platforms for CVE-2026-55255


Testing Methodology

Validate this detection against 3 adversary techniques from Atomic Red Team. Each test below lists the behaviour to exercise and the telemetry you should expect to see. Executable commands and cleanup steps are available with Pro.

  1. Test 1Unauthenticated Flow ID Discovery via /api/v1/responses

    Expected signal: 20 GET requests to /api/v1/responses/* within seconds, all from the same source IP and Authorization header, appearing in web/application access logs

  2. Test 2Targeted Cross-User Flow Access Using Known Flow ID

    Expected signal: Single authenticated GET request to /api/v1/responses/<victim_flow_id> returning HTTP 200 with flow response data belonging to a different user

  3. Test 3Scripted Flow Enumeration with Response Exfiltration

    Expected signal: 50 GET requests to /api/v1/responses/* within approximately 30 seconds, with a subset returning HTTP 200 and response bodies containing flow data; all from single source IP

Unlock Pro Content

Get the full detection package for CVE-2026-55255 including response playbook, investigation guide, and atomic red team tests.

Response PlaybookInvestigation GuideHunting QueriesAtomic Red Team TestsTuning Guidance

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