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AI-Driven NIK C2 Implant and Data Theft

An intruder has deployed the NIK C2 implant to harvest browser credentials and crypto wallets, potentially preparing to deploy screen-locking ransomware.

Based on research by Cisco Talos 2026-10-30 11 steps · 3 queries T1003 T1059.001 T1486 T1566

Brief

Why now

Cisco Talos recently published A quiet week in infosec, which details the emergence of the NIK C2 framework. This toolkit uses a Go-based implant to automate data exfiltration, specifically targeting browser credentials and cryptocurrency wallets. The framework is notable for its integration of AI to process stolen data and its use of hijacked victim API keys to fund these operations. Because the final stage often involves a screen-locking ransomware payload, early detection of the implant and its harvesting behaviors is critical.

How the hunt flows

The hunt begins with a triage query targeting process activity. It searches for specific SHA256 hashes and filenames, such as KMSAuto++.exe, associated with NIK C2 components. This provides a high-confidence lead based on observed telemetry.

A gate follows the initial search. An analyst or agent examines the results to ensure the detected processes are not legitimate administrative tools. This manual or automated check ensures the hunt only fans out into expensive behavioral queries when evidence of a beachhead exists.

When a lead is confirmed, the hunt runs two parallel investigations. The first query monitors file activity for non-browser processes accessing sensitive paths like Chrome's Login Data or local crypto wallet directories. This identifies the data harvesting phase of the operation.

The second parallel query looks for the impact of the screen-locking ransomware. It counts rapid file creation or renaming events involving extensions like .locked, .enc, or .nik. This captures the final, destructive stage of the NIK C2 attack chain.

Finally, the hunt synthesizes all evidence. An analyst correlates the presence of the initial implant with the observed behavioral indicators to confirm the intrusion and determine the extent of the theft and encryption.

What the hunt cannot see

This hunt faces two primary blind spots. First, if an adversary renames the NIK C2 binary to a name not included in our parameter list, the initial lead query will miss it. Second, the behavioral queries rely on file-level access auditing. If the host lacks detailed telemetry for browser profile paths, the implant might read credential databases without triggering a process-based file activity alert.

In this series

Steps

  1. Search for NIK C2 and associated malware

    Query · triage

    Identify processes by known malicious hashes or specific filenames used by the NIK C2 framework.

    reads hb_process_activitysql
    SELECT device_hostname, process_name, process_path, process_cmd_line, process_hash_sha256, user_name, time FROM hb_process_activity WHERE (instr(',' || '{{implant_hashes}}' || ',', ',' || process_hash_sha256 || ',') > 0 OR instr(',' || '{{implant_names}}' || ',', ',' || LOWER(process_name) || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days')

    What a hit looks like. A row indicates a known malicious process is active on a host. Zero rows suggests this specific implant version is not currently running.

  2. Analyze the lead results

    Agent triage

    Evaluate if the processes found in the lead query are legitimate administrative tools or confirmed malware based on their execution context.

  3. Decide whether to fan-out

    Decision

    Open the expensive behavioral queries only if the lead results indicate suspicious activity.

  4. Credential and wallet access

    Query · enrichment

    Find non-browser processes accessing sensitive browser database files or crypto wallet directories on the flagged hosts.

    reads hb_file_activitysql
    SELECT device_hostname, process_name, file_path, activity_name, time FROM hb_file_activity WHERE ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND (LOWER(file_path) LIKE '%\google\chrome\user data\default\login data%' OR LOWER(file_path) LIKE '%\wallets\%' OR LOWER(file_path) LIKE '%\.wallet%') AND time >= datetime('now', '-{{lookback_days}} days')

    What a hit looks like. A non-browser process reading these paths is a high-confidence indicator of data theft.

  5. Screen-locker and ransomware impact

    Query · enrichment

    Identify processes that rapidly rename or create files with extensions used by the NIK C2 framework ransomware component.

    reads hb_file_activitysql
    SELECT device_hostname, process_name, COUNT(*) as file_count, MIN(time) as first_impact, MAX(time) as last_impact FROM hb_file_activity WHERE ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND (activity_id = 1 OR activity_id = 5) AND (LOWER(file_path) LIKE '%.locked' OR LOWER(file_path) LIKE '%.enc' OR LOWER(file_path) LIKE '%.nik') AND time >= datetime('now', '-{{lookback_days}} days') GROUP BY device_hostname, process_name

    What a hit looks like. A process that creates or renames many files with suspicious extensions confirms an active encryption event. Zero rows means no ransomware impact occurred on these hosts during the window.

  6. Synthesize full investigation

    Agent triage

    Correlate the initial implant lead with the behavioral evidence of harvesting and impact.

  7. Route for containment

    Decision

    Route to action if the agent confirms an active NIK C2 intrusion.

  8. Isolate the compromised host

    Response action

    Prevent further data exfiltration or ransomware spread.

  9. Conduct forensic review

    Analyst task

    Confirm the scope of the theft and the ransomware status.

  10. Close out the hunt

    Analyst task

    Document results and tune parameters.

Coverage

Scenario coverage

StageCoveredHow, or why not
NIK C2 Implant Execution
T1059.001
Yes nik-implant-lead
Credential and Data Harvesting
T1003
Yes browser-crypto-access
Screen-locking Ransomware
T1486
Yes ransomware-behavior
Exploitation of Public-Facing Applications
T1190 · T1566
Out of scope Belongs to another part of the 'A quiet week in infosec <.<' series.
AI-Enhanced Command and Control
T1071.001 · T1090
Out of scope Belongs to another part of the 'A quiet week in infosec <.<' series.

Blind spots

  • Needs EDR process execution logs. An attacker renaming the binary would bypass the lead query, resulting in a false negative. It would answer whether the implant was executed with a randomized filename not in the parameter list.
  • Needs file-level access auditing for browser profile paths. Without specific file access telemetry, reading the database is silent until exfiltration or encryption starts. It would answer whether the implant read the Login Data file without triggering a process-based alert.

Parameters & data

Parameters

ParameterTypeDefaultWhat it is
implant_hasheslist[hash]73a25ff8893260418c2271b863c567e40e842adbab3c57023cb72de590ea377d, 9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507, 7fc50b69b56bfdfa9fc0a3e088ff13904587d6336a51e9edcc7919cba83d4e3f, 58d6fec4ba24c32d38c9a0c7c39df3cb0e91f500b323e841121d703c7b718681, fed979f93bcaf4e73ebd25748093a92095d5109cbd01d55f97bdc50ce509ad2fSHA256 hashes for prevalent malware and known NIK C2 components.
implant_nameslist[string]KMSAuto++.exe, KMSAuto Net.exeProcess names observed in telemetry for recent malicious activity.
lookback_daysnumber14Days of history to examine.
scope_hostslist[host]—List of hostnames flagged in the initial lead to scope behavioral pivots.

Telemetry

SourceCategoryTelemetry
Endpoint telemetry (hb_ surfaces)endpointendpoint

Source

Download hunt.md Definition (JSON) An open hunt.md file; it runs anywhere that reads the format.
---
analysis: While a static rule might catch the known hashes, this hunt pivots to behavioral
  indicators (browser DB access and ransomware file patterns) to catch evolving NIK
  C2 variants that change their binary signature but maintain their functional goals.
blind_spots:
- id: limited-process-visibility
  question: whether the implant was executed with a randomized filename not in the
    parameter list
  requires: EDR process execution logs
  risk: An attacker renaming the binary would bypass the lead query, resulting in
    a false negative.
  stage: execution-implant-deployment
- id: file-auditing-gap
  question: whether the implant read the Login Data file without triggering a process-based
    alert
  requires: file-level access auditing for browser profile paths
  risk: Without specific file access telemetry, reading the database is silent until
    exfiltration or encryption starts.
  stage: credential-access-theft
coverage:
- stage: execution-implant-deployment
  status: covered
  steps:
  - nik-implant-lead
- stage: credential-access-theft
  status: covered
  steps:
  - browser-crypto-access
- stage: impact-ransomware-deployment
  status: covered
  steps:
  - ransomware-behavior
- reason: Belongs to another part of the 'A quiet week in infosec <.<' series.
  stage: initial-access-exploitation
  status: out_of_scope
- reason: Belongs to another part of the 'A quiet week in infosec <.<' series.
  stage: command-and-control-ai
  status: out_of_scope
guardrails:
  claims: no_unsupported
  evidence: citation_required
  missing_data: not_benign
  telemetry: untrusted
hunt:
  applicability: campaign-specific
  handoff: keep-as-periodic-hunt
  justification: The NIK C2 framework represents a shift toward AI-accelerated exploitation
    and data theft; a negative result confirms that these specific high-prevalence
    variants have not established a foothold or initiated ransomware impact.
  methodology: model-assisted
  trigger: intel-report
hypothesis: An intruder has deployed the NIK C2 implant to harvest browser credentials
  and crypto wallets, potentially preparing to deploy screen-locking ransomware.
labels:
- hunt
- attack.t1059.001
- attack.t1003
- attack.t1486
- attack.t1566
- command and control
- credential access
- execution
- impact
- initial access
name: AI-Driven NIK C2 Implant and Data Theft
parameters:
  implant_hashes:
    default:
    - 73a25ff8893260418c2271b863c567e40e842adbab3c57023cb72de590ea377d
    - 9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507
    - 7fc50b69b56bfdfa9fc0a3e088ff13904587d6336a51e9edcc7919cba83d4e3f
    - 58d6fec4ba24c32d38c9a0c7c39df3cb0e91f500b323e841121d703c7b718681
    - fed979f93bcaf4e73ebd25748093a92095d5109cbd01d55f97bdc50ce509ad2f
    description: SHA256 hashes for prevalent malware and known NIK C2 components.
    from:
      kind: article
      observed: '2026-10-29'
      ref: https://blog.talosintelligence.com/a-quiet-week-in-infosec/
    type: list[hash]
  implant_names:
    default:
    - KMSAuto++.exe
    - KMSAuto Net.exe
    description: Process names observed in telemetry for recent malicious activity.
    from:
      kind: article
      observed: '2026-10-29'
      ref: https://blog.talosintelligence.com/a-quiet-week-in-infosec/
    type: list[string]
  lookback_days:
    default: '14'
    description: Days of history to examine.
    type: number
  scope_hosts:
    default: []
    description: List of hostnames flagged in the initial lead to scope behavioral
      pivots.
    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: Target Windows hosts, especially those belonging to users with access to
  sensitive credentials or cloud development environments (likely to hold API keys).
  Focus on the last 14 days following the Talos advisory.
references:
- name: "Cisco Talos \u2014 A quiet week in infosec"
  url: https://blog.talosintelligence.com/a-quiet-week-in-infosec/
related:
- hunt: initial-access-exploitation
  reason: The delivery mechanism (likely PHP or Node.js exploitation) is handled by
    a separate series of hunts focusing on web server telemetry.
  relation: out-of-scope-alternative
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: 1
  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
tlp: clear
type: investigation
---


# AI-Driven NIK C2 Implant and Data Theft

The NIK C2 framework employs a Go-based Windows implant that integrates AI to analyze stolen data in real-time. This adversary hijacks victim API keys to fund AI requests and deploys screen-locking ransomware to finish the operation. The hunt first identifies known malicious filenames or hashes from Talos telemetry. If a lead is confirmed, the hunt fans out to examine behavioral indicators of credential harvesting targeting browser databases and crypto wallets. Finally, the analyst evaluates file activity for rapid encryption or renaming patterns typical of ransomware impact.

## nik-implant-lead
<!-- Search for NIK C2 and associated malware -->
Identify processes by known malicious hashes or specific filenames used by the NIK C2 framework.

```sqlite target=endpoint role=triage params=(lookback_days=lookback_days, implant_hashes=implant_hashes, implant_names=implant_names)
~~~yaml
expected: A row indicates a known malicious process is active on a host. Zero rows
  suggests this specific implant version is not currently running.
reads:
- device_hostname
- process_name
- process_path
- process_cmd_line
- process_hash_sha256
- user_name
- time
silence: not_evidence_of_absence
source: hb_process_activity
verified: dry-run
verified_at: '2026-10-30'
~~~
SELECT device_hostname, process_name, process_path, process_cmd_line, process_hash_sha256, user_name, time FROM hb_process_activity WHERE (instr(',' || '{{implant_hashes}}' || ',', ',' || process_hash_sha256 || ',') > 0 OR instr(',' || '{{implant_names}}' || ',', ',' || LOWER(process_name) || ',') > 0) AND time >= datetime('now', '-{{lookback_days}} days')
```

## gate-agent
<!-- Analyze the lead results -->
```agent target=hunter
cite: required
context:
- nik-implant-lead
max_iterations: 3
objective: Determine if any host shows evidence of NIK C2 or related malicious execution
  based on the process metadata.
success_criteria: A per-host verdict of suspicious or malicious.
tools:
- endpoint
```

## gate-decision
<!-- Decide whether to fan-out -->
if~: "the gate-agent verdict is suspicious or malicious for any host" (confidence: high, judge=hunter)
then: → investigation-fan-out
indeterminate: → analyst-review
unavailable: → analyst-review (blind_spot: limited-process-visibility)
else: → close-out

## investigation-fan-out
<!-- Investigate behaviors in parallel -->
parallel:
- → browser-crypto-access
- → ransomware-behavior
join: → nik-triage

## browser-crypto-access
<!-- Credential and wallet access -->
Find non-browser processes accessing sensitive browser database files or crypto wallet directories on the flagged hosts.

```sqlite target=endpoint role=enrichment params=(lookback_days=lookback_days, scope_hosts=scope_hosts)
~~~yaml
expected: A non-browser process reading these paths is a high-confidence indicator
  of data theft.
reads:
- device_hostname
- process_name
- file_path
- activity_name
- time
silence: not_evidence_of_absence
source: hb_file_activity
verified: dry-run
verified_at: '2026-10-30'
~~~
SELECT device_hostname, process_name, file_path, activity_name, time FROM hb_file_activity WHERE ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND (LOWER(file_path) LIKE '%\google\chrome\user data\default\login data%' OR LOWER(file_path) LIKE '%\wallets\%' OR LOWER(file_path) LIKE '%\.wallet%') AND time >= datetime('now', '-{{lookback_days}} days')
```

## ransomware-behavior
<!-- Screen-locker and ransomware impact -->
Identify processes that rapidly rename or create files with extensions used by the NIK C2 framework ransomware component.

```sqlite target=endpoint role=enrichment params=(lookback_days=lookback_days, scope_hosts=scope_hosts)
~~~yaml
expected: A process that creates or renames many files with suspicious extensions
  confirms an active encryption event. Zero rows means no ransomware impact occurred
  on these hosts during the window.
reads:
- device_hostname
- process_name
- file_path
- activity_id
- time
silence: not_evidence_of_absence
source: hb_file_activity
verified: dry-run
verified_at: '2026-10-30'
~~~
SELECT device_hostname, process_name, COUNT(*) as file_count, MIN(time) as first_impact, MAX(time) as last_impact FROM hb_file_activity WHERE ('{{scope_hosts}}' = '' OR instr(',' || '{{scope_hosts}}' || ',', ',' || device_hostname || ',') > 0) AND (activity_id = 1 OR activity_id = 5) AND (LOWER(file_path) LIKE '%.locked' OR LOWER(file_path) LIKE '%.enc' OR LOWER(file_path) LIKE '%.nik') AND time >= datetime('now', '-{{lookback_days}} days') GROUP BY device_hostname, process_name
```

## nik-triage
<!-- Synthesize full investigation -->
```agent target=hunter
cite: required
context:
- gate-agent
- browser-crypto-access
- ransomware-behavior
max_iterations: 6
objective: Assess the combined evidence from all queries to confirm the NIK C2 attack
  chain and its impact on each host.
success_criteria: A detailed verdict citing process execution, credential access,
  and file modifications.
tools:
- endpoint
```

## nik-route
<!-- Route for containment -->
if~: "the nik-triage verdict is malicious for at least one host" (confidence: high, judge=hunter)
then: → isolate-host
indeterminate: → analyst-review
unavailable: → analyst-review (blind_spot: file-auditing-gap)
else: → close-out

## isolate-host
<!-- Isolate the compromised host -->
```action target=endpoint
~~~yaml
approval: required
~~~
Isolate the host immediately. Revoke any browser or cloud API sessions (OpenAI keys) associated with the user on that host.
```
→ analyst-review

## analyst-review
<!-- Conduct forensic review -->
```manual target=analyst
Verify the cited file access rows. Examine the host for KMSAuto variants. Check the local OpenAI API key usage if applicable.
```
→ close-out

## close-out
<!-- Close out the hunt -->
```manual target=analyst
Summarize the findings. If malicious activity was found, escalate to IR. If not, record the negative result and update the implant indicators list if new variants are identified.
```
→ end

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Machine-drafted by huntbase-hunt-generation using hb_google/gemini-3-flash-preview, gated by dry-run, lint, then reviewed by a person.

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