--- analysis: A single rule for AI API traffic would drown an analyst in noise. This hunt uses the context of vulnerable web software to focus network behavioral analysis, pivoting between software inventory, rare DNS, and API volume to find hidden implants. blind_spots: - id: encrypted-ai-payloads question: whether an AI API request contains stolen credentials or command responses requires: hb_http_activity with request body capture risk: Without payload inspection, legitimate AI developer traffic may mask C2 communication perfectly. stage: command-and-control-ai - id: short-lived-proxies question: whether a local proxy was opened and closed rapidly between polling intervals requires: hb_network_listener with real-time bind events risk: Snapshot-based socket tools like osquery may miss temporary proxy listeners used by the NIK C2 implant. stage: command-and-control-ai coverage: - stage: initial-access-exploitation status: covered steps: - identify-web-asset-inventory - stage: command-and-control-ai status: covered steps: - rare-dns-from-interpreters - anomalous-ai-api-requests - reason: Belongs to another part of the 'A quiet week in infosec <.<' series. stage: execution-implant-deployment status: out_of_scope - reason: Belongs to another part of the 'A quiet week in infosec <.<' series. stage: credential-access-theft status: out_of_scope - reason: Belongs to another part of the 'A quiet week in infosec <.<' series. stage: impact-ransomware-deployment status: out_of_scope guardrails: claims: no_unsupported evidence: citation_required missing_data: not_benign telemetry: untrusted hunt: applicability: campaign-specific handoff: promote-to-detection justification: Adversaries are collapsing the time between compromise and exfiltration by using AI to automate data analysis. A negative result confirms your web infrastructure is not a node in this high-velocity attack chain. methodology: model-assisted trigger: intel-report hypothesis: An adversary has exploited PHP or Node.js vulnerabilities to deploy a Go-based implant that hides its command-and-control activity by hijacking AI API keys and using local proxies. labels: - hunt - attack.t1190 - attack.t1071.001 - attack.t1090 - attack.t1566 - attack.t1486 - command and control - credential access - execution - impact - initial access name: AI-Enhanced C2 and Web Proxy Hijacking parameters: ai_api_domains: default: - api.openai.com - api.anthropic.com - api.cohere.ai - api.groq.com description: Known AI service API endpoints that may be targeted for key hijacking. from: kind: article observed: '2026-10-29' ref: Cisco Talos - NIK C2 type: list[domain] lookback_days: default: '14' description: Days of history to examine. type: number scope_hosts: default: [] description: Optional list of hosts to narrow the investigation. type: list[host] provenance: authors: - name: Huntbase hunt generation org: huntbase.io generated: by: huntbase-hunt-generation from: https://blog.talosintelligence.com/a-quiet-week-in-infosec/ gates: - dry-run - lint model: hb_google/gemini-3-flash-preview rationale: Focus on internet-facing servers running PHP or Node.js. Use the software inventory to prioritize those that cannot be immediately patched. references: - name: "Cisco Talos \u2014 A quiet week in infosec" url: https://blog.talosintelligence.com/a-quiet-week-in-infosec/ related: - hunt: php-node-rce-behavioral-monitoring reason: This hunt focuses on the network behavior of the post-exploit implant; a separate hunt should monitor process-level exploitation of the interpreters. relation: out-of-scope-alternative - hunt: ai-driven-nik-c2-implant-theft relation: follows scenario: stages: - name: Exploitation of Public-Facing Applications observables: - Exploitation of PHP core RCE vulnerabilities - Exploitation of Node.js/Brotli decoder flaws - Phishing emails targeting AI credentials slug: initial-access-exploitation tactic: initial-access techniques: - T1190 - T1566 - name: NIK C2 Implant Execution observables: - Go-based Windows implant execution - Unexpected PowerShell executions - 'Process names: KMSAuto++.exe, KMSAuto Net.exe' slug: execution-implant-deployment tactic: execution techniques: - T1059.001 - name: Credential and Data Harvesting observables: - Unauthorized access to browser databases - Access to crypto wallets - Credential dumping from memory - Keystroke streaming slug: credential-access-theft tactic: credential-access techniques: - T1003 - name: AI-Enhanced Command and Control observables: - Unusual local proxy routing - Hijacked OpenAI API keys used for outbound C2 communication - Go-based implant network activity slug: command-and-control-ai tactic: command-and-control techniques: - T1071.001 - T1090 - name: Screen-locking Ransomware observables: - Deployment of screen-locking ransomware - Data encryption for impact slug: impact-ransomware-deployment tactic: impact techniques: - T1486 summary: The NIK C2 framework is a Go-based Windows implant that leverages integrated AI models to analyze harvested data in real-time. The campaign involves credential dumping, keystroke streaming, and the deployment of screen-locking ransomware, while masking infrastructure by hijacking victims' OpenAI API keys for data processing. series: index: 2 slug: a-quiet-week-in-infosec title: A quiet week in infosec <.< total: 2 severity: high targets: analyst: name: Tier-2 analyst role: analyst endpoint: category: endpoint name: Endpoint telemetry (hb_ surfaces) telemetry: - endpoint hunter: agent: true name: Hunt agent web: category: siem name: Web server / proxy logs telemetry: - network tlp: clear type: investigation --- # AI-Enhanced C2 and Web Proxy Hijacking This hunt identifies compromised web assets by starting with the presence of PHP and Node.js engines, then fanning out to look for anomalous network behaviors. It specifically targets the NIK C2 pattern where the attacker hijacks legitimate OpenAI API keys to mask exfiltration and uses local proxy routing to blend into encrypted traffic. An agent triages the intersection of vulnerable software and rare outbound network signals. ## identify-web-asset-inventory Find hosts running the web engines mentioned in the threat research to scope the behavioral queries. ```sqlite target=endpoint role=scoping ~~~yaml expected: A list of hosts running PHP or Node.js. Silence means no such engines are recorded in the inventory. reads: - device_hostname - package_name - package_version silence: not_evidence_of_absence source: hb_software_inventory verified: dry-run verified_at: '2026-10-30' ~~~ SELECT device_hostname, package_name, package_version FROM hb_software_inventory WHERE (LOWER(package_name) LIKE '%php%' OR LOWER(package_name) LIKE '%node%') ``` ## investigate-network-anomalies parallel: - → rare-dns-from-interpreters - → anomalous-ai-api-requests join: → triage-compromise-signals ## rare-dns-from-interpreters Find rare domains queried by PHP or Node processes, which may indicate C2 infrastructure. ```sqlite target=endpoint role=baseline params=(scope_hosts=scope_hosts, lookback_days=lookback_days) ~~~yaml baseline: compare: first_seen window: '{{lookback_days}}d' expected: DNS queries to rare domains originating from web engine processes. Normal noise includes updates and legitimate API integrations. prevalence: by: device_hostname key: - query_hostname rare_below: 3 reads: - device_hostname - process_name - query_hostname - time silence: not_evidence_of_absence source: hb_dns_activity verified: dry-run verified_at: '2026-10-30' ~~~ SELECT device_hostname, process_name, query_hostname, COUNT(DISTINCT device_hostname) AS hosts, COUNT(*) AS lookups, MIN(time) AS first_seen FROM hb_dns_activity WHERE (LOWER(process_name) LIKE '%php%' OR LOWER(process_name) LIKE '%node%') AND ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days') GROUP BY query_hostname HAVING hosts <= 3 ORDER BY hosts ASC ``` ## anomalous-ai-api-requests Identify hosts talking to AI service APIs, which may indicate hijacked keys used for NIK C2 communication. ```sqlite target=web role=detection-candidate params=(ai_api_domains=ai_api_domains, scope_hosts=scope_hosts, lookback_days=lookback_days) ~~~yaml expected: HTTP requests to AI provider domains. Any row on a server not explicitly designed for AI development is suspicious. reads: - device_hostname - url_hostname - url_path - user_agent - time silence: not_evidence_of_absence source: hb_http_activity verified: dry-run verified_at: '2026-10-30' ~~~ SELECT device_hostname, url_hostname, url_path, user_agent, COUNT(*) AS request_count, MIN(time) AS first_seen FROM hb_http_activity WHERE instr(',' || '{{ai_api_domains}}' || ',', ',' || LOWER(url_hostname) || ',') > 0 AND ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days') GROUP BY device_hostname, url_hostname, url_path, user_agent ``` ## triage-compromise-signals ```agent target=hunter cite: required context: - identify-web-asset-inventory - rare-dns-from-interpreters - anomalous-ai-api-requests max_iterations: 5 objective: Identify hosts where rare DNS queries or AI API communications intersect with the presence of PHP/Node.js, citing rows that suggest a Go-based implant or key theft. success_criteria: A verdict of malicious, suspicious, or benign per host, with cited network anomalies. tools: - endpoint - web ``` ## route-on-verdict if~: "the triage verdict is malicious for at least one host" (confidence: high, judge=hunter) then: → isolate-and-remediate indeterminate: → forensic-evidence-collection unavailable: → forensic-evidence-collection (blind_spot: encrypted-ai-payloads) else: → patching-and-closure ## isolate-and-remediate ```action target=endpoint ~~~yaml approval: required ~~~ Isolate the host immediately. Revoke any AI API keys associated with the host or found in its environment variables. Prepare for memory collection. ``` → forensic-evidence-collection ## forensic-evidence-collection ```manual target=analyst Collect and analyze active network sockets for local proxy routing (127.0.0.1). Search for Go-based binaries in web server directories. Review PHP and Node.js logs for RCE patterns matching the Talos advisory. ``` → patching-and-closure ## patching-and-closure ```manual target=analyst Verify all hosts running PHP and Node.js are patched against the RCE vulnerabilities. Confirm the removal of any detected implants and finalize the incident report. ``` → end