Excerpt: CVE-2026-12944 exposes Langflow 1.0.0-1.10.0 to root Python RCE, IMDSv1 AWS credential theft, file exfiltration, and Docker-network lateral movement.
Introduction
NVD published CVE-2026-12944 with a CVSS 9.6 Critical rating and a network-exploitable pathway. The headline metadata references PostgreSQL, but the technical description in the advisory body identifies IBM Langflow OSS 1.0.0 through 1.10.0 as the vulnerable component: an attacker can submit components containing socket or urllib imports and execute arbitrary Python as root (UID=0) on the Langflow server. Treat the PostgreSQL naming as a likely feed/scoring or data-normalization inconsistency until the NVD entry and IBM advisory are reconciled; operationally, your priority is to inventory Langflow, not assume this is a database server bug.
The impact is not theoretical web app compromise. A successful exploit can turn a low-friction AI workflow builder into a root-level cloud pivot: AWS credential theft via IMDSv1 SSRF with full IAM role permissions, arbitrary file exfiltration from the container filesystem, and lateral movement to internal services such as PostgreSQL and Redis inside the Docker network. The reported behavior that the scanner returns "validated": true is especially dangerous because it can create a false assurance signal in CI/CD or component validation workflows.
Technical Analysis
Affected products and versions: IBM Langflow OSS 1.0.0 through 1.10.0 are described as vulnerable. Any internet-reachable Langflow instance, shared internal Langflow service, or CI pipeline that accepts user-supplied components should be treated as high risk until proven otherwise. If Langflow is deployed in Docker, Kubernetes, ECS, EC2, or adjacent to managed PostgreSQL/Redis, assume the blast radius includes cloud identity, container filesystem secrets, and east-west services.
Vulnerability mechanics from a defender's perspective: the flaw is a dangerous code-execution path in component handling. An attacker submits a component whose Python imports include socket or urllib; the server executes attacker-controlled code in the Langflow process context, described as root. The exploitation chain is consistent with three post-compromise objectives:
- Cloud credential theft through IMDSv1 SSRF: outbound HTTP to
169.254.169.254can retrieve instance metadata and, where IMDSv1 is still enabled, temporary IAM role credentials with the permissions attached to the workload. - Container filesystem exfiltration: Python file reads can harvest
.env, application secrets, cloud SDK caches, SSH keys, mounted service-account tokens, and config files. - Docker-network lateral movement: from the Langflow container or host namespace, attackers can reach private services commonly exposed on
5432/tcpfor PostgreSQL and6379/tcpfor Redis, often without authentication on flat internal networks.
Severity and exploitability: CVSS 9.6 with network path means low attack complexity and high impact in exposed deployments. The source does not confirm public PoC, active exploitation, or CISA KEV inclusion; defenders should not wait for those signals because the preconditions are common: Langflow instances are frequently stood up quickly, run with broad network reachability, mounted with secrets, and operated near data services.
Immediate scoping questions: Where is Langflow deployed? What version and image digest? Does the process run as UID 0? Is the instance profile powerful? Can the workload reach 169.254.169.254? Are PostgreSQL/Redis reachable from the Langflow namespace? Are component submissions authenticated and logged? Do CI scanners trust "validated": true without independent sandboxing?
Detection & Response
Prioritize detections that catch the high-confidence behaviors: Python execution under Langflow, SSRF to link-local metadata, unusual east-west connections to PostgreSQL/Redis, and root-context file reads. Do not rely on scanner output as proof of safety.
---
title: Langflow Python Component SSRF to Cloud Instance Metadata
id: 9d2b7c41-2f6a-4d0d-9a31-7e4f5c6a8b90
status: experimental
description: Detects Python processes associated with Langflow initiating HTTP access to the cloud instance metadata service, consistent with CVE-2026-12944 IMDSv1 credential theft.
references:
- https://nvd.nist.gov/vuln/detail/CVE-2026-12944
- https://attack.mitre.org/techniques/T1552/005/
- https://attack.mitre.org/techniques/T1190/
author: Security Arsenal
date: 2026/02/06
tags:
- attack.credential_access
- attack.t1552.005
- attack.initial_access
- attack.t1190
logsource:
category: network_connection
product: linux
detection:
selection:
DestinationIp:
- '169.254.169.254'
DestinationPort:
- 80
filter_langflow_context:
Image|endswith:
- '/python'
- '/python3'
- '/python3.11'
- '/python3.12'
CommandLine|contains:
- 'langflow'
condition: selection and filter_langflow_context
falsepositives:
- Rare legitimate metadata reads by Langflow plugins; investigate any UID 0 or interactive-session context immediately
level: critical
---
title: Suspicious Python Execution From Langflow Component Context
id: 4a1f8d2e-8b3c-4e21-9f70-2b6c7d8e9f01
status: experimental
description: Detects Python process launches with Langflow context and imports or command strings associated with socket/urllib abuse, arbitrary file access, or shell staging.
references:
- https://nvd.nist.gov/vuln/detail/CVE-2026-12944
- https://attack.mitre.org/techniques/T1059/006/
author: Security Arsenal
date: 2026/02/06
tags:
- attack.execution
- attack.t1059.006
logsource:
category: process_creation
product: linux
detection:
selection_langflow:
CommandLine|contains:
- 'langflow'
selection_python_risk:
CommandLine|contains:
- 'import socket'
- 'from socket import'
- 'import urllib'
- 'urllib.request'
- 'http://169.254.169.254'
- '/latest/meta-data/iam/security-credentials'
- 'open(/etc/'
- 'subprocess'
- 'os.system'
- 'bash -c'
- 'sh -c'
condition: selection_langflow and selection_python_risk
falsepositives:
- Developer testing in isolated labs; production Langflow component submission should be tightly controlled
level: high
---
title: Langflow Workload East-West Connection to PostgreSQL or Redis
id: 6c3e9a17-5b44-4a6f-81d2-0f9a8b7c6d5e
status: experimental
description: Detects Langflow-associated Python processes initiating internal connections to PostgreSQL or Redis after component execution, indicating possible lateral movement within container networks.
references:
- https://nvd.nist.gov/vuln/detail/CVE-2026-12944
- https://attack.mitre.org/techniques/T1021/
- https://attack.mitre.org/techniques/T1210/
author: Security Arsenal
date: 2026/02/06
tags:
- attack.lateral_movement
- attack.t1021
- attack.exploitation_remote_services
- attack.t1210
logsource:
category: network_connection
product: linux
detection:
selection:
DestinationPort:
- 5432
- 6379
filter_python:
Image|endswith:
- '/python'
- '/python3'
- '/python3.11'
- '/python3.12'
filter_context:
CommandLine|contains:
- 'langflow'
condition: selection and filter_python and filter_context
falsepositives:
- Expected Langflow integrations to approved databases; alert when source, destination, user, or time deviates from baseline
level: medium
let metadataIp = "169.254.169.254";
let dbPorts = dynamic([5432, 6379]);
union isfuzzy=true
(DeviceNetworkEvents
| where RemoteIP == metadataIp or RemotePort in (dbPorts)
| where InitiatingProcessFileName has "python" or InitiatingProcessCommandLine has "langflow"
| project TimeGenerated, DeviceName, InitiatingProcessFileName, InitiatingProcessCommandLine, InitiatingProcessAccountName, RemoteIP, RemotePort, ActionType, LocalIP, LocalPort
),
(CommonSecurityLog
| where DestinationIP == metadataIp or DestinationPort in (dbPorts)
| where Message has "langflow" or Message has "python" or ProcessName has "python"
| project TimeGenerated, DeviceVendor, DeviceProduct, SourceIP, SourcePort, DestinationIP, DestinationPort, ProcessName, Message
),
(Syslog
| where SyslogMessage has "langflow" and (SyslogMessage has "169.254.169.254" or SyslogMessage has "5432" or SyslogMessage has "6379" or SyslogMessage has "urllib" or SyslogMessage has "socket")
| project TimeGenerated, Computer, HostIP, Facility, SeverityLevel, ProcessName, SyslogMessage
)
| order by TimeGenerated desc;
-- Hunt for Langflow Python processes with metadata-service or database egress
LET proc = SELECT Pid, Ppid, Name, Exe, CommandLine, Username, CreateTime
FROM pslist()
WHERE CommandLine =~ 'langflow|python'
OR Name =~ 'python'
LET conns = SELECT Pid, Family, Type, Laddr, Lport, Raddr, Rport, Status
FROM netstat()
WHERE Raddr =~ '169\\.254\\.169\\.254'
OR Rport in (5432, 6379)
SELECT proc.Pid AS Pid,
proc.Ppid AS Ppid,
proc.Name AS ProcessName,
proc.Username AS Username,
proc.CommandLine AS CommandLine,
proc.CreateTime AS ProcessStart,
conns.Raddr AS RemoteAddress,
conns.Rport AS RemotePort,
conns.Status AS ConnectionStatus
FROM proc
JOIN conns ON proc.Pid = conns.Pid
ORDER BY ProcessStart DESC
#!/usr/bin/env bash
set -euo pipefail
# Identify Langflow containers/processes and versions
printf '[*] Langflow processes:\n'
ps -eo user,uid,pid,ppid,comm,args | grep -i '[l]angflow' || true
printf '\n[*] Docker images/containers that look like Langflow:\n'
if command -v docker >/dev/null 2>&1; then
docker ps --format '{{.ID}} {{.Image}} {{.Names}} {{.Ports}}' | grep -i langflow || true
docker images --format '{{.Repository}} {{.Tag}} {{.ID}}' | grep -i langflow || true
fi
# Check for dangerous runtime posture
printf '\n[*] Root-running Langflow containers:\n'
if command -v docker >/dev/null 2>&1; then
for c in $(docker ps -q); do
img=$(docker inspect -f '{{.Config.Image}}' "$c" 2>/dev/null || true)
user=$(docker inspect -f '{{.Config.User}}' "$c" 2>/dev/null || true)
if printf '%s' "$img" | grep -qi langflow && [ -z "$user" ]; then
printf 'ROOT_OR_DEFAULT user container: %s image=%s name=%s\n' "$c" "$img" "$(docker inspect -f '{{.Name}}' "$c")"
fi
done
fi
# Detect metadata reachability and enforce IMDSv2 where possible
printf '\n[*] IMDS reachability test (should fail after egress controls):\n'
curl -m 2 -sS -o /dev/null -w '%{http_code}\n' http://169.254.169.254/latest/meta-data/ || true
if [ "${ENFORCE_IMDSV2:-0}" = "1" ] && command -v aws >/dev/null 2>&1; then
IID=$(curl -m 2 -s http://169.254.169.254/latest/meta-data/instance-id || true)
if [ -n "$IID" ]; then
aws ec2 modify-instance-metadata-options --instance-id "$IID" --http-tokens required --http-endpoint enabled --http-put-response-hop-limit 1 || true
fi
fi
# Host egress example: block metadata from Langflow cgroup is preferable; minimal host OUTPUT fallback shown for lab use only
printf '\n[*] Add iptables owner match only if Langflow runs under dedicated user langflowsvc:\n'
if [ "${APPLY_IPTABLES:-0}" = "1" ] && id langflowsvc >/dev/null 2>&1; then
iptables -C OUTPUT -m owner --uid-owner langflowsvc -d 169.254.169.254/32 -p tcp --dport 80 -j DROP 2>/dev/null || \
iptables -A OUTPUT -m owner --uid-owner langflowsvc -d 169.254.169.254/32 -p tcp --dport 80 -j DROP
fi
# Kubernetes/Container hardening reminders rendered as checks
printf '\n[*] Required posture: non-root user, readOnlyRootFilesystem, drop ALL capabilities, no privileged mode, NetworkPolicy deny egress to 169.254.169.254 and default-deny east-west, secrets via external secret manager, no hostPath Docker socket.\n'
Remediation
Patch and upgrade: Do not invent a fixed release. The provided source identifies affected versions as Langflow OSS 1.0.0 through 1.10.0 but does not state an official patched version. Immediately check IBM's Langflow security advisories, GitHub releases, container tags, and the NVD entry for CVE-2026-12944; deploy the first vendor-fixed release greater than 1.10.0 when available and verify by image digest. Until then, isolate and harden.
Contain now: remove public exposure; require strong authentication and authorization for component submission; disable untrusted component upload if feasible; place Langflow behind a WAF/reverse proxy with request body logging; run the service as a dedicated non-root UID with readOnlyRootFilesystem, allowPrivilegeEscalation: false, dropped capabilities, no Docker socket mount, and seccomp/AppArmor profiles. For Kubernetes, apply default-deny NetworkPolicy egress and explicitly permit only required destinations. For Docker, use user-defined networks with internal segmentation and outbound proxy control.
Protect cloud identity: require IMDSv2 with HttpTokens=required, set metadata hop limit to 1, block workload egress to 169.254.169.254/32, attach least-privilege IAM roles, and alert on any metadata access from application containers. If exposure is suspected, rotate instance-profile credentials by replacing instances/tasks, revoke active sessions where possible, rotate secrets in environment files and mounted volumes, and review CloudTrail for credential use from unexpected ASN/user-agent pairs.
Protect data services: require authentication and TLS for PostgreSQL and Redis even inside container networks; remove broad 0.0.0.0/0 security group rules; restrict 5432 and 6379 to exact application identities; enable query/auth logging; review for new roles, dumped tables, Redis module loads, CONFIG SET, keyspace notifications, and unexpected replicas. Reset credentials reachable from the Langflow network.
Scanner and pipeline correction: treat "validated": true as untrusted unless produced by an isolated sandbox with no network, no secrets, non-root execution, syscall filtering, and deterministic provenance. Add admission controls that block components importing socket, urllib, subprocess, ctypes, dynamic __import__, or direct file/network primitives unless explicitly approved. Preserve logs for component submissions, validation results, user identity, source IP, and deployed flow IDs before and after remediation.
Validation: after patching, run a controlled regression in a sandbox to confirm malicious component submission is denied, metadata egress is blocked, root execution is impossible, and east-west database access is denied by policy. Close the gap only when preventive controls fail closed and detection use cases fire in purple-team validation.
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