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Langflow CVE-2026-0768 – Active Unauthenticated Root RCE and Credential Theft

Threat Overview

CVE-2026-0768 is a critical unauthenticated code-injection vulnerability in Langflow. Public reporting identifies Langflow 1.4.2 and earlier as affected. The flaw can allow attacker-controlled Python execution as root through vulnerable component-validation behavior.

On September 1, 2026, reporting based on VulnCheck observations described active exploitation against exposed Langflow systems. Observed attackers queried environment variables and local files for Langflow superuser material, OpenAI API keys, AWS access keys and secrets, SSH-related data, shell history, and Langflow secret-key material. This makes the issue relevant beyond the initially compromised server because exposed credentials can support cloud, AI-provider, database, or infrastructure compromise.

The exploit can execute Python code inside the existing application process. A successful compromise therefore does not have to create an obvious child shell or downloader. Behavioral process hunts should be combined with HTTP, file, network, and credential-discovery telemetry.

References

Impacted Systems

  • Vendor/product: Langflow.
  • Affected versions: public reporting identifies Langflow 1.4.2 and earlier.
  • Platform: Python deployments on Linux, containers, and other supported platforms.
  • Primary exposure: self-hosted or customer-managed Langflow services reachable by an attacker.
  • Attacker prerequisite: network access to a vulnerable service; authentication is not required.
  • Impact: arbitrary Python execution as root, credential theft, persistence, and follow-on compromise.
  • Observed targets: Langflow superuser material, OpenAI API keys, AWS credentials, SSH data, shell history, and Langflow secret-key material.

Why this matters

This is an actively exploited unauthenticated RCE against AI application infrastructure that commonly stores high-value integration secrets. Successful exploitation can quickly move from application compromise to cloud or identity compromise.

Exploitation Status

Confirmed active exploitation reported September 1, 2026. Observed activity focused on reconnaissance and credential harvesting. No single stable payload or universal attacker infrastructure should be assumed.

What this hunt looks for

Langflow or Python runtimes spawning shells and downloaders, commands targeting specifically reported secrets, suspicious validation requests, new public destinations, script or service-file creation, process-to-network correlation, and Windows/Linux fallback telemetry.

Required logs

  • DeviceProcessEvents
  • DeviceFileEvents
  • DeviceNetworkEvents
  • CommonSecurityLog with HTTP URL/method telemetry
  • SecurityEvent Event ID 4688 fallback
  • Syslog fallback

Hunt 1 – First-Pass: Langflow or Python Spawning Shells and Downloaders

DeviceProcessEvents
| where TimeGenerated >= ago(30d)
| where InitiatingProcessFileName in~ ("python","python3","python.exe","langflow","langflow.exe","uvicorn")
| where InitiatingProcessCommandLine has_any ("langflow","uvicorn") or InitiatingProcessFileName has "langflow"
| where FileName in~ ("bash","sh","cmd.exe","powershell.exe","pwsh.exe","curl","curl.exe","wget","wget.exe","nc","ncat","python","python3")
| project TimeGenerated, DeviceName, AccountName, FileName, ProcessCommandLine, InitiatingProcessFileName, InitiatingProcessCommandLine, SHA256
| sort by TimeGenerated asc

Hunt 2 – Credential and Secret Discovery From Langflow Context

DeviceProcessEvents
| where TimeGenerated >= ago(30d)
| where InitiatingProcessFileName in~ ("python","python3","python.exe","langflow","langflow.exe","uvicorn") or InitiatingProcessCommandLine has "langflow"
| where ProcessCommandLine has_any ("LANGFLOW_SUPERUSER","OPENAI_API","AWS_ACCESS","AWS_SECRET","/root/.cache/langflow/secret_key",".bash_history",".ssh","printenv"," env ")
| project TimeGenerated, DeviceName, AccountName, FileName, ProcessCommandLine, InitiatingProcessFileName, InitiatingProcessCommandLine
| sort by TimeGenerated asc

Hunt 3 – Requests to Langflow Validation Surfaces

CommonSecurityLog
| where TimeGenerated >= ago(30d)
| extend HttpMethod=tostring(column_ifexists("RequestMethod",""))
| extend Url=tostring(column_ifexists("RequestURL",""))
| where HttpMethod in~ ("POST","PUT")
| where Url has "validate"
| where Url has_any ("code","component","custom")
| project TimeGenerated, SourceIP, DestinationIP, DestinationHostName, HttpMethod, Url, RequestClientApplication, DeviceAction, Message
| sort by TimeGenerated asc

Hunt 4 – New Public Destinations From Langflow or Python

let Baseline = DeviceNetworkEvents
| where TimeGenerated between (ago(30d) .. ago(7d))
| where InitiatingProcessFileName in~ ("python","python3","python.exe","langflow","langflow.exe","uvicorn")
| where RemoteIPType == "Public"
| summarize by DeviceId, RemoteIP, RemotePort;
DeviceNetworkEvents
| where TimeGenerated >= ago(7d)
| where InitiatingProcessFileName in~ ("python","python3","python.exe","langflow","langflow.exe","uvicorn")
| where RemoteIPType == "Public"
| join kind=leftanti Baseline on DeviceId, RemoteIP, RemotePort
| project TimeGenerated, DeviceName, InitiatingProcessFileName, InitiatingProcessCommandLine, RemoteIP, RemoteUrl, RemotePort, ActionType
| sort by TimeGenerated desc

Hunt 5 – Suspicious Files Created by Langflow or Python

DeviceFileEvents
| where TimeGenerated >= ago(30d)
| where InitiatingProcessFileName in~ ("python","python3","python.exe","langflow","langflow.exe","uvicorn")
| where ActionType in ("FileCreated","FileModified","FileRenamed")
| where FileName endswith ".sh" or FileName endswith ".py" or FileName endswith ".service" or FileName endswith ".so" or FileName endswith ".exe"
| where FolderPath has_any ("/tmp/","/var/tmp/","/etc/systemd/system/","\\Temp\\","\\ProgramData\\")
| project TimeGenerated, DeviceName, ActionType, FileName, FolderPath, SHA256, InitiatingProcessFileName, InitiatingProcessCommandLine
| sort by TimeGenerated asc

Hunt 6 – Langflow Child Process Followed by Network Activity

let SuspiciousChildren = DeviceProcessEvents
| where TimeGenerated >= ago(30d)
| where InitiatingProcessFileName in~ ("python","python3","python.exe","langflow","langflow.exe","uvicorn")
| where FileName in~ ("bash","sh","cmd.exe","powershell.exe","pwsh.exe","curl","curl.exe","wget","wget.exe","python","python3")
| project DeviceId, ProcessTime=TimeGenerated, DeviceName, ChildProcess=FileName, ChildCommandLine=ProcessCommandLine;
DeviceNetworkEvents
| where TimeGenerated >= ago(30d)
| join kind=inner SuspiciousChildren on DeviceId
| where TimeGenerated between (ProcessTime .. ProcessTime + 10m)
| project ProcessTime, TimeGenerated, DeviceName, ChildProcess, ChildCommandLine, InitiatingProcessFileName, InitiatingProcessCommandLine, RemoteIP, RemoteUrl, RemotePort, ActionType
| sort by ProcessTime asc

Hunt 7 – Linux Syslog Credential-Harvesting and Persistence Fallback

Syslog
| where TimeGenerated >= ago(30d)
| where SyslogMessage has_any ("langflow","uvicorn","python")
| where SyslogMessage has_any ("LANGFLOW_SUPERUSER","OPENAI_API","AWS_ACCESS","AWS_SECRET","secret_key",".bash_history","authorized_keys","systemctl","crontab","curl ","wget ")
| project TimeGenerated, Computer, HostIP, ProcessName, SeverityLevel, SyslogMessage
| sort by TimeGenerated asc

Hunt 8 – Windows SecurityEvent Fallback for Python-to-Shell Execution

SecurityEvent
| where TimeGenerated >= ago(30d)
| where EventID == 4688
| where ParentProcessName has_any ("python.exe","langflow.exe","uvicorn")
| where NewProcessName has_any ("cmd.exe","powershell.exe","pwsh.exe","curl.exe","certutil.exe","wscript.exe","cscript.exe")
| project TimeGenerated, Computer, Account, ParentProcessName, NewProcessName, CommandLine
| sort by TimeGenerated asc

Detection Notes

  • Highest signal is Langflow/Python spawning shells or downloaders and commands referencing the specifically reported credential targets.
  • The exploit can execute in-process, so child-process telemetry can miss successful exploitation.
  • HTTP validation hunts are supporting indicators, not universal exploit signatures.
  • Secret reads may not generate a general Defender file-read event.
  • Python is common in AI and development environments. Scope to confirmed Langflow systems where possible.
  • Missing WAF/reverse-proxy or endpoint telemetry materially reduces visibility.

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