8993d1450b
--------- Co-authored-by: Ruben Groenewoud <78494512+Aegrah@users.noreply.github.com> Co-authored-by: Isai <59296946+imays11@users.noreply.github.com> Co-authored-by: terrancedejesus <terrance.dejesus@elastic.co> Co-authored-by: Jonhnathan <26856693+w0rk3r@users.noreply.github.com> Co-authored-by: eric-forte-elastic <eric.forte@elastic.co>
107 lines
3.6 KiB
TOML
107 lines
3.6 KiB
TOML
[metadata]
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creation_date = "2026/01/09"
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integration = ["endpoint"]
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maturity = "production"
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updated_date = "2026/03/24"
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[rule]
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author = ["Elastic"]
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description = """
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Detects when the Ollama LLM server accepts connections from external IP addresses. Ollama lacks built-in authentication,
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so exposed instances allow unauthenticated model theft, prompt injection, and resource hijacking.
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"""
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from = "now-9m"
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index = ["logs-endpoint.events.network-*"]
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language = "eql"
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license = "Elastic License v2"
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name = "Ollama API Accessed from External Network"
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note = """## Triage and analysis
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### Investigating Ollama API Accessed from External Network
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This rule detects when Ollama accepts connections from external IP addresses. Ollama binds to localhost:11434 by default but can be exposed via OLLAMA_HOST. Since Ollama lacks authentication, exposed instances allow unauthenticated model theft, prompt injection, and resource hijacking.
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### Possible investigation steps
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- Check the OLLAMA_HOST environment variable to determine if external exposure was intentional.
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- Review the source IP address to identify if it's a known attacker, scanner, or miscategorized internal system.
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- Examine Ollama logs for suspicious API calls to /api/pull, /api/push, or /api/generate.
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- Check ~/.ollama/models/ for unexpected model downloads that may indicate model poisoning.
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- Review network traffic for data exfiltration following the connection.
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- Look for child processes spawned by Ollama that may indicate exploitation.
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### False positive analysis
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- Internal networks not properly classified in CIDR ranges may trigger false positives.
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- Load balancers or reverse proxies accessing Ollama from external-facing IPs within trusted infrastructure.
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- Legitimate remote access through VPN or authenticated proxy (add proxy IPs to exclusions).
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### Response and remediation
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- Restrict access immediately by setting OLLAMA_HOST=127.0.0.1:11434 or applying firewall rules.
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- If exploitation is suspected, stop Ollama and audit ~/.ollama/models/ for unauthorized models.
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- Review Ollama and system logs for signs of compromise.
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- Consider running Ollama in a container with network isolation.
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"""
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references = [
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"https://www.greynoise.io/blog/threat-actors-actively-targeting-llms",
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"https://atlas.mitre.org/techniques/AML.T0040",
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"https://atlas.mitre.org/techniques/AML.T0044",
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]
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risk_score = 47
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rule_id = "d8f2a1b3-c4e5-6789-abcd-ef0123456789"
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severity = "medium"
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tags = [
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"Domain: Endpoint",
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"OS: Linux",
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"OS: macOS",
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"OS: Windows",
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"Use Case: Threat Detection",
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"Tactic: Initial Access",
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"Data Source: Elastic Defend",
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"Resources: Investigation Guide",
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"Domain: LLM",
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"Mitre Atlas: T0040",
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"Mitre Atlas: T0044",
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]
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timestamp_override = "event.ingested"
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type = "eql"
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query = '''
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network where event.action == "connection_accepted" and
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process.name in ("ollama", "ollama.exe") and
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destination.port == 11434 and
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source.ip != null and source.ip != "0.0.0.0" and
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not cidrmatch(source.ip,
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"10.0.0.0/8",
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"127.0.0.0/8",
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"169.254.0.0/16",
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"172.16.0.0/12",
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"192.168.0.0/16",
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"100.64.0.0/10",
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"::1",
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"fe80::/10",
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"fc00::/7",
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"ff00::/8"
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)
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'''
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[[rule.threat]]
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framework = "MITRE ATT&CK"
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[[rule.threat.technique]]
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id = "T1133"
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name = "External Remote Services"
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reference = "https://attack.mitre.org/techniques/T1133/"
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[[rule.threat.technique]]
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id = "T1190"
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name = "Exploit Public-Facing Application"
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reference = "https://attack.mitre.org/techniques/T1190/"
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[rule.threat.tactic]
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id = "TA0001"
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name = "Initial Access"
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reference = "https://attack.mitre.org/tactics/TA0001/"
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