Skip to main content

One post tagged with "botnets"

View All Tags

July 2026 Threat Landscape: Botnet Convergence, LLM Stack Scrapes, & Intercepted Malware

· 6 min read
Deirdre Hennigar
Deirdre Hennigar
Nerd-o

July 2026 Threat Landscape Abstract​

As the malware threat landscape evolves, attacker reconnaissance is becoming hyper-targeted. Across the Malware on Tap sensor fleet, recent telemetry reveals three major trends:

  • relentless automated MySQL brute-forcing accounting for over 77% of all service touches
  • automated scanning for emerging AI/LLM infrastructure credentials (such as LiteLLM and LangChain)
  • active payload distribution targeting exposed enterprise endpoints

Top Risks Observed This Month​

Database Credential Stuffing (Port 3306)

Massive automated brute-force scripts targeting exposed MySQL instances using administrative defaults.

Focus: network segmentation, non-standard ports, strict IP allowlisting

LLM Framework Credential Harvesting

Wordlist expansion targeting emerging AI proxies (LiteLLM, LangChain, Ollama, Open WebUI).

Focus: enforce proxy authentication, API key rotation, access logs

Cloud Secret Extraction (.env & Androxgh0st)

Probing web roots for environment files to extract AWS, SendGrid, and Laravel secrets.

Focus: web server deny rules for hidden files, secret scanners

Automated Malware Payload Interception

Active delivery of Windows Trojans, SMB relay worms, and RAT agents to exposed ports.

Focus: EDR coverage, SMB protocol hardening, egress filtering

Sensor Fleet Threat Dossier​

FLEET DOSSIER

Attacker activity has shifted from indiscriminate port scanning to automated secret extraction and targeted LLM stack reconnaissance.

Primary Targets
  • Cloud-hosted MySQL & MSSQL databases
  • AI/LLM middleware proxies & APIs
  • Public web roots with unhedged .env files
Primary Vectors
  • Credential brute-forcing (cron, sa, root)
  • Androxgh0st vulnerability scraping
  • Direct HTTP / SMB binary execution
Primary EffectInitial access, credential theft, & malware staging
Technical Signals & Targeted Ports
Ports
3306 / MySQL80 / HTTP445 / SMB1433 / MSSQL5060 / SIP2222 / SSH
MITRE ATT&CK Techniques Observed
T1110 / Brute ForceT1552 / Unsecured CredentialsT1082 / System Info DiscoveryT1105 / Ingress Tool TransferT1059 / Command Execution

1. Massive MySQL Database Reconnaissance​

Database infrastructure remains the primary target for automated credential stuffing and initial access broker (IAB) scripts.

  • Port 3306 Volume: 46,354 connections representing 77.2% of all network service touches across the sensor fleet.
  • Top Credential Pairs: Attackers focused heavily on default administrative accounts, led by cron (45,802 attempts), sa (816 attempts), root (170 attempts), and admin (158 attempts).
  • Password Profiles: Over 58.7% of attempted passwords fell into simple alphanumeric patterns (1qaz2wsx, 12345678, password), highlighting that botnets continue to exploit weak credential management in cloud-hosted database instances.
Target Port: 3306 (MySQL)
Total Touches: 46,354
Top Usernames: cron (45,802), sa (816), root (170), admin (158)
Top Passwords: 1qaz2wsx (22), 12345678 (18), password (16), saadmin (15)

2. Emerging Threat Vector: LLM Proxy & AI Stack Reconnaissance​

One of the most notable telemetry developments is the shift toward harvesting credentials for Artificial Intelligence and Large Language Model (LLM) orchestration frameworks.

  • Observed Credential Attempt: ishaan-litellm:langchain
  • Analysis: Threat actors are actively updating wordlists to probe for exposed LLM proxy endpoints (such as LiteLLM proxy wrappers, LangChain agents, Ollama servers, and Open WebUI interfaces).
  • Attacker Goal: Gaining unauthorized access to underlying OpenAI/Anthropic/AWS Bedrock API keys hosted within LLM proxies, or executing prompt-injection and agent hijacking attacks against internal model workflows.

3. Secret Extraction & Androxgh0st Botnet Scanning​

Attacker web probes continue to prioritize environment variable exposure to extract high-value cloud credentials:

  • Androxgh0st Activity: Detections logged 1,142 androxgh0st_probe events designed to scrape .env files for AWS S3 credentials, SendGrid keys, Twilio auth tokens, and Laravel APP_KEY values.
  • Environment File Probing: Over 3,000 requests specifically targeted web root secret files:
    • /.env (1,521 requests)
    • /.env.production (342 requests)
    • /.env.save (330 requests)
    • /.env.local (305 requests)
    • /api/.env (302 requests)
    • /backend/.env (301 requests)

4. Captured Malware Binary Analysis​

Sensors automatically captured and recorded raw malware binary payloads delivered during active exploitation attempts:

Payload Source URL / PathIntercept CountProtocolThreat Description
http://156.238.237.180:3151/exiles.exe28HTTPWindows Trojan / Payload Dropper
smb://119.93.219.317SMBSMB Worm Propagation / NTLM Relay
http://star.zcnet.net:7766/Server.exe3HTTPRemote Access Trojan (RAT) Agent

Defensive Takeaways & IoCs​

Key Recommendations​

  1. Never Expose Port 3306 to Public Internet: Restrict MySQL and database management ports to internal VPCs or enforce strict IP allowlisting / VPN access.
  2. Secure AI & LLM Proxy Endpoints: Enforce multi-factor authentication (MFA) and strong API key rotation on LiteLLM, LangChain, and self-hosted AI middleware.
  3. Block .env Access at Reverse Proxy Level: Ensure Nginx, Apache, or Caddy rules block public HTTP access to all hidden files (location ~ /\. { deny all; }).

Technical Indicators of Compromise (IoCs)​

TypeIndicatorContext
IPv4156.238.237.180Host serving exiles.exe malware payload
IPv4119.93.219.3Host serving SMB relay / worm payload
Domainstar.zcnet.netHost serving Server.exe RAT binary
User AgentLinux Gnu (cow)Active web scanner probing exposed HTTP endpoints
Credentialishaan-litellm:langchainLLM framework credential harvesting probe