LSN โ€” Local Sovereign Network

๐Ÿ”ด CRITICAL โ€” Complete Cybercrime Ecosystem Mapped from a Single Honeypot

TI-2026-007 โ€” "The Underground Economy" โ€” 6 Crime Networks, 36 Days, 1 Honeypot

A single Cowrie SSH honeypot captured 1,824 unique attacker IPs executing 40,677 credential attempts over 36 days โ€” revealing an interconnected underground economy spanning SIM theft, cryptomining, self-propagating worms, bulletproof hosting, proxy-for-hire networks, and ERP financial targeting across 50+ countries.
๐Ÿง  Organized Crime Ecosystem SIM/Telegram Theft Cryptomining Botnet Self-Propagating Worm Bulletproof Hosting Proxy-for-Hire ERP Financial Targeting 6 Networks ยท 50+ Countries 36-Day Campaign
โœ… Investigation closed 2026-05-01 โ€” Continued in TI-2026-008

The mdrfckr botnet documented in this dossier (23 IPs, captured March 21 โ€“ April 26) continued operating after this report's cutoff. Follow-up monitoring through 2026-05-01 captured an additional 8 IPs running the identical toolkit with a rotated SSH backdoor key. Three of the published mdrfckr IOC IPs reappeared in the wider 31-IP roster. The marker credential 345gs5662d34:345gs5662d34 persisted. The investigation is closed โ€” see TI-2026-008 โ€” "The Backdoor-Key Harvester" for the full continuation, the expanded victim roster with verbatim WHOIS records, and the Max-Planck-Institut fรผr Informatik co-observer reframe.

๐Ÿ“‹ Executive Summary

Over 36 consecutive days (March 21 โ€“ April 26, 2026), a single Cowrie SSH honeypot operating on our infrastructure captured 40,677 credential attempts from 1,824 unique IP addresses across 50+ countries. Deep OSINT analysis of the captured telemetry revealed not isolated attacks, but an interconnected underground economy โ€” six distinct criminal networks whose operations interlock like gears in a machine: bulletproof hosting and proxy networks provide the infrastructure, self-propagating worms and botnets generate the access, and SIM theft rings, ERP targeting campaigns, and cryptomining operations deliver the monetization. This dossier documents the complete ecosystem โ€” from the specific Telegram session fingerprint being hunted across the internet to the IRC server named bullshit-irc.net coordinating cryptominers, from a compromised Baidu AI server running Ollama to a Swiss-Panamanian bulletproof hosting provider running 225-port proxy farms on Windows servers.

๐Ÿฏ Honeypot Collection โ€” 36 Days of Intelligence
1,824
Unique Attacker IPs
40,677
Credential Attempts
10,305
Unique Passwords
6
Crime Networks Mapped
50+
Countries Observed

๐Ÿ”— The Crime Pipeline โ€” How 6 Networks Form One Economy

These six networks are not independent โ€” they form a vertically integrated cybercrime supply chain. Infrastructure enables access, access enables monetization.

๐Ÿ—๏ธ Layer 1 โ€” Infrastructure
Private Layer โ€” Swiss bulletproof hosting, 225-port proxy farms, 36 days persistent
ISAEV Proxy โ€” Purpose-built ASN (37 days old), SSH tunnel harvesting, proxy-for-hire
Provides: anonymity, C2 hosting, untraceable infrastructure
๐Ÿ”‘ Layer 2 โ€” Access Generation
SSHD Worm โ€” Self-propagating, 151 targets, partitioned scan architecture
mdrfckr Botnet โ€” 23 IPs, SSH key injection, IRC C2, mass activation events
Provides: compromised hosts, persistent backdoors, expandable botnet army
๐Ÿ’ฐ Layer 3 โ€” Monetization
SIM/Telegram Theft โ€” Steals 2FA codes + Telegram sessions โ†’ bank fraud
ERP Targeting โ€” 316-username wordlist, version-specific Odoo โ†’ wire fraud
mdrfckr Mining โ€” XMRig crypto mining โ†’ launders proceeds
Provides: direct financial extraction from stolen access
Infrastructure (bulletproof hosting + proxies) โ†’ Access (worms + botnets) โ†’ Monetization (SIM fraud + ERP targeting + cryptomining)
Each layer depends on the one below it. Together, they form a self-sustaining cybercrime economy.
๐Ÿ”ด The darkest finding. A botnet of 15 compromised residential devices โ€” Android TV boxes, 3D printers, building automation systems, NAS devices โ€” searching the internet for SIM farm hardware and a specific Telegram account. This is infrastructure for organized financial fraud.
15
Residential Bot IPs
10
Countries / 6 Continents
9
Commands per Session
1
Targeted Telegram Account

Every session uses root:root (single attempt, 100% success โ€” pre-validated targets), executes an identical 9-command sequence in 1.8โ€“9.1 seconds, and disconnects. The commands search for: Telegram Desktop session data (tdata/ directories), GSM modem hardware (/dev/ttyGSM*, /dev/ttyUSB-mod*), SMS gateway infrastructure (smstools3, Qualcomm QMUX), and one specific Telegram session identified by fingerprint D877F783D5D3EF8C.

# The 9-command kill chain (every session, identical)
/ip cloud print โ† MikroTik router detection
ifconfig โ† Looking for PPP/USB/bridge interfaces
uname -a โ† ARM = embedded, x86 = server
cat /proc/cpuinfo โ† Qualcomm SoC = modem hardware
ps | grep '[Mm]iner' โ† Competitor detection
ps -ef | grep '[Mm]iner' โ† Extended miner check
ls -la ~/.../TelegramDesktop/tdata /dev/ttyGSM* /var/spool/sms/* ... โ† 12 paths
locate D877F783D5D3EF8Cs โ† Hunting ONE specific Telegram account
echo Hi | cat -n โ† Shell validation marker
๐ŸŽฏ The D877F783D5D3EF8C Fingerprint: This 16-hex-character value is a Telegram auth_key fingerprint โ€” the lower 64 bits of SHA1(auth_key). The trailing s in the search is not a typo โ€” Telegram Desktop appends s to create the tdata/ subdirectory name. Someone specific is being hunted across the internet. The operator already knows which account they want.

Compromised devices include: Android TV boxes (ADB port 5555 exposed), a 3D printer running OctoPrint (France), a building automation system with KNXnet/IP (Vietnam), BitTorrent NAS boxes (Sweden), and residential routers with TR-069 exposed. The botnet is accelerating โ€” inter-session gaps shrunk from 10 days to 0.36 days in the final week.

23
Bot IPs / 17 Countries
10
IPs Activated Apr 11 (12h)
19
Commands per Session
100%
Marker Credential Hit Rate

The mdrfckr (Outlaw/Haiduc) botnet is a well-documented cryptomining operation active since 2018. All 23 nodes inject an identical RSA public key with the comment mdrfckr, execute a 19-command attack sequence (SSH key persistence โ†’ system recon โ†’ competitor elimination โ†’ mining viability assessment), and set unique per-bot 12-character passwords generated by the C2. The universal marker credential 345gs5662d34:345gs5662d34 appears in 100% of bots (23/23) โ€” functioning as a botnet fingerprint and re-entry mechanism.

# SSH key injected by every mdrfckr bot
cd ~ && rm -rf .ssh && mkdir .ssh && echo "ssh-rsa AAAA...oRw== mdrfckr">>.ssh/authorized_keys
# SHA256: MkYY9qiVsFGBC5WkjoClCkwEFW5iSjcGQF7m4n4H7Cw
Two Bot Variants
Standard (21 IPs): Uses chpasswd for password change โ€” newer, more reliable method
Legacy (2 IPs): Uses interactive passwd โ€” older variant, HK and Egypt
๐Ÿ”ด April 11 Mass Activation
10 new IPs appeared within 12 hours (00:33โ€“11:24 UTC), including nodes on BytePlus (TikTok's cloud), Google Cloud, DigitalOcean, and FranTech. Consistent with C2 distributing a new target list to existing bots simultaneously.
๐ŸŽฏ Key Infrastructure Node: 198.98.56.205 (FranTech/BuyVM, AS53667) โ€” hostname: bullshit-irc.net โ€” runs IRC on ports 6667/6697. FranTech is a known bulletproof-adjacent hosting provider. This is the IRC C2 server coordinating the mdrfckr botnet. The IRC Shellbot C2 pattern matches documented Outlaw/mdrfckr campaigns since 2018.
4
Active Spreader Nodes
151
Unique Target IPs
33
Countries Targeted
~0
Target List Overlap

A centrally-coordinated worm distributes an identical binary (SHA256: 94f2e4d8d...a4c00) masquerading as sshd. Each spreader receives a unique set of ~51 target IPs with near-zero overlap (only 2 shared IPs across 3 non-empty lists) โ€” maximizing coverage. The binary is deployed via nohup ./.<random_19_digit>/sshd <targets> & โ€” the 19-digit directory names match Java Random.nextLong(), indicating the dropper is written in Java.

SpreaderLocationASNTargetsNotable
180.76.175.142๐Ÿ‡จ๐Ÿ‡ณ BeijingAS38365 Baidu51๐Ÿค– Compromised AI server โ€” Ollama 0.5.10 + Portainer exposed
144.31.152.46๐Ÿ‡ซ๐Ÿ‡ฎ HelsinkiAS215590 DpkgSoft0 (empty)Bulletproof hosting โ€” relay/proxy node
107.175.150.94๐Ÿ‡บ๐Ÿ‡ธ BuffaloAS36352 ColoCrossing5112 CVEs incl. regreSSHion, tagged "proxy"
154.241.22.37๐Ÿ‡ฉ๐Ÿ‡ฟ AlgiersAS36947 Telecom Algeria51Residential ISP โ€” compromised device
๐Ÿค– The Baidu AI Server: Spreader 1 (180.76.175.142) is a Baidu cloud AI development server running Ollama 0.5.10 (LLM inference engine) and Portainer 2.16.2 (Docker UI) โ€” both publicly exposed with known CVEs. Likely compromised through the Portainer authentication bypass (CVE-2024-33661). A developer's AI playground turned into a worm launchpad.

Confirmed worm propagation: Target IP 46.101.107.202 (DigitalOcean Frankfurt) subsequently attacked our honeypot using the exact same credential dictionary in the exact same order โ€” confirmed active bot. Target 36.137.79.219 (China Mobile Shanghai) attacked us before appearing in the target list โ€” the C2 aggregates previously-known vulnerable hosts. China dominates the target distribution (31%), consistent with the Beijing origin of the first spreader.

563
Login Attempts (2 IPs)
36
Consecutive Days
225+
Open Ports (Proxy Farm)
~30 min
Polling Interval

Private Layer INC (AS51852) โ€” registered in Panama, operating from Bellinzona, Switzerland โ€” is a well-documented bulletproof hosting provider. Two IPs (179.43.133.154 and 179.43.139.58) have conducted persistent, low-and-slow SSH scanning since Day 1 of the honeypot (March 21). They use almost exclusively admin/admin (94.6%) with automated ~30-minute intervals. Zero post-exploitation commands โ€” pure credential validation.

Both IPs are Windows servers running as proxy farms: 179.43.133.154 has 159 ports in the 12000โ€“12999 range alone โ€” each a separate SOCKS proxy listener. Both expose Windows services (RPC:135, SMB:445, WinRM:5985) and share 28 identical port numbers, confirming the same base image/configuration. A third IP (179.43.9.2) ran a more sophisticated credential-stuffing burst on April 24 using Chinese-origin passwords.

๐Ÿ”— W1N Ltd Correlation: The honeypot's #1 overall attacker (185.246.128.133, AS42237/W1N Ltd, 1,119 attempts over 35 days) uses the identical credential pattern (admin/admin + admin/123456), runs the same Windows services, and shows the same persistent behavior. Both started on Day 1. Strong evidence of the same operator using infrastructure from two different bulletproof hosting providers.
7
IPs from 87.251.64.0/24
620
SSH Tunnel Tests
37
Days ASNโ†’First Attack
4
Escalation Phases

AS200730 (ISAEV Igor Maratovich) โ€” a single /24 prefix in Warsaw, Poland โ€” was created on 2026-02-20, just 37 days before its first attack. It announces only one /24 block (256 IPs), is registered to an individual with a Russian patronymic name, and has upstream transit from MEVSPACE (Polish hosting) and Shesternin Vladimir (Russian individual, AS212835). This is a purpose-built scanning infrastructure.

The Kill Chain โ€” From Probe to Sustained Operation
Phase 1: Probe
Mar 29 โ€“ Apr 11
4 IPs (.141,.145,.147,.149)
1-2 attempts each
Phase 2: Recon
Apr 17 (single session)
IP .146 runs full system profiling script checking AllowTcpForwarding, router firmware
Phase 3: Tunnel Test
Apr 20-21 (22.7h)
IP .150 โ€” 114 sessions,
DNS tunnel via 1.1.1.1:53
Phase 4: Workhorse
Apr 21-26 (118h)
IP .176 โ€” 506 sessions,
7-min handoff from .150

The recon script (IP .146) specifically checks for AllowTcpForwarding, PermitTunnel, GatewayPorts in sshd_config, probes for MikroTik, OpenWrt, Ubiquiti router firmware, and checks for tunneling tools (socat, chisel, gost, ncat). The 620 tunnel tests send a byte-identical DNS query for a.to (shortest resolvable domain) through direct-tcpip to 1.1.1.1:53. If the DNS response returns โ†’ tunnel works โ†’ target is a usable proxy.

316
Unique Usernames
3,600
Credential Attempts
7
Linode IPs (Cedar Knolls, NJ)
odoo14โ€“18
Version-Specific Targeting

A coordinated credential-spraying campaign from 7 Akamai/Linode VPS nodes (all AS63949, Cedar Knolls, NJ) targeting enterprise financial systems. The 316-username wordlist reveals extraordinary breadth: version-specific Odoo (14โ€“18), Frappe/ERPNext, databases (PostgreSQL, MySQL, Elasticsearch with 7 variant usernames), CI/CD systems (Jenkins, GitLab), Chinese enterprise software (KingBase, DM Database, GBase, ๅฅ‘็บฆ้”), and even AI services (claude, chatgpt, gpt, cursor, nvidia).

๐Ÿ’ฐ
12
ERP/Financial usernames
odoo, odoo14-18, frappe, erpnext
๐Ÿค–
11
AI/ML usernames
claude, chatgpt, nvidia, gpuadmin
๐Ÿ‡จ๐Ÿ‡ณ
8
Chinese enterprise targets
kingbase, dmdba, gbase, niaoyun

Post-authentication behavior is pure fingerprinting: every successful login runs uname -s -v -n -r -m only โ€” zero downloads, zero lateral movement. The attacker is building a database of accessible ERP systems for later exploitation. The inclusion of cowrie in the username list proves honeypot awareness. Password claude2026 shows real-time wordlist maintenance tracking current-year AI trends.

Connections between the six networks that prove this is not random internet noise โ€” it's an ecosystem.

ConnectionEvidenceSignificance
mdrfckr โ†” Bulletproof Hosting 198.98.56.205 (FranTech/BuyVM) hosts bullshit-irc.net โ€” mdrfckr IRC C2 server. FranTech is bulletproof-adjacent hosting. Botnet C2 runs on bulletproof infrastructure
Private Layer + W1N Ltd Both started Day 1 (Mar 21). Identical credential pattern (admin/admin). Same Windows services. Same persistence model. Same operator, two bulletproof providers for redundancy
ISAEV Escalation Pattern Probe (Mar 29) โ†’ Recon (Apr 17) โ†’ Tunnel test (Apr 20) โ†’ Sustained (Apr 21-26). 37-day-old ASN. Professional proxy builder, purpose-built infrastructure
Worm โ†’ Honeypot Feedback 46.101.107.202 confirmed in worm target list, then attacked us with identical worm credentials. 36.137.79.219 attacked us first. Worm successfully creating new attack nodes
mdrfckr Mass Activation 10 IPs in 12 hours on April 11 โ€” simultaneous across BytePlus, Google Cloud, DigitalOcean, FranTech C2 coordinated multi-cloud campaign push
SIM Bot Acceleration Inter-session gaps: 10 days (early) โ†’ 0.36 days (late April). Cadence tripling. Operator ramping up โ€” possibly facing deadline or competition
Shared Credential: 345gs5662d34 Universal mdrfckr marker credential present in 100% of botnet nodes (23/23). Botnet self-identification + re-entry mechanism
ERP โ†” Worm Overlap ERP wordlist includes claude, docker, kubernetes โ€” same targets worm compromises for compute Different monetization of same victim pool

What we observed over 36 days is not six isolated attack campaigns. It is the visible surface of a vertically integrated cybercrime economy.

At the infrastructure layer, bulletproof hosting providers (Private Layer in Switzerland, W1N Ltd, FranTech) provide servers that ignore abuse complaints, while purpose-built ASNs like ISAEV Igor's harvest SSH proxies to anonymize all operations. These two capabilities โ€” persistent hosting and anonymous routing โ€” are the foundation everything else depends on.

At the access layer, self-propagating worms and brute-force botnets continuously expand the pool of compromised machines. The SSHD worm's partitioned target lists ensure maximum coverage with minimum overlap. The mdrfckr botnet's IRC C2 coordinates mass activations across clouds. Together, they maintain a constantly-growing inventory of compromised hosts โ€” the raw material of cybercrime.

At the monetization layer, different operators extract value from this inventory in parallel: the SIM/Telegram botnet steals 2FA codes and messaging sessions for bank fraud, the ERP campaign maps financial systems for wire fraud and BEC attacks, and cryptominers like mdrfckr convert stolen compute directly into Monero. Each monetization path is independent but they all draw from the same pool of compromised infrastructure.

A single honeypot, running for 36 days, captured enough data to map this entire ecosystem. The internet's criminal underground isn't hidden โ€” you just have to know where to listen.

TechniqueNameNetworks Observed
T1595.002Active Scanning: SSHAll 6 networks
T1078.001Valid Accounts: Default CredentialsSIM, mdrfckr, Worm, Private Layer, ISAEV, ERP
T1110.001Brute Force: Password Guessingmdrfckr (27-102 creds), ERP (316 usernames)
T1110.003Brute Force: Password SprayingPrivate Layer, ISAEV (admin/admin at scale)
T1059.004Unix Shell ExecutionSIM (9 cmds), mdrfckr (19 cmds), Worm, ISAEV (.146 recon)
T1098.004SSH Authorized Keys Manipulationmdrfckr (key injection with mdrfckr comment)
T1082System Information DiscoverySIM, mdrfckr, Worm, ISAEV, ERP (uname)
T1083File and Directory DiscoverySIM (12 paths for tdata/GSM/SMS)
T1120Peripheral Device DiscoverySIM (/dev/ttyGSM*, /dev/modem*)
T1528Steal Application Access TokenSIM (Telegram auth_key via tdata/)
T1496Resource Hijacking (Cryptomining)mdrfckr (XMRig/Monero)
T1071.001Application Layer Protocol: IRCmdrfckr (bullshit-irc.net C2)
T1090.003Multi-hop ProxyPrivate Layer (200+ ports), ISAEV (SSH tunnels)
T1583.003Acquire Infrastructure: VPSPrivate Layer, ISAEV, ERP (Linode cluster)
T1584.005Compromise Infrastructure: BotnetSIM (15 residential), mdrfckr (23 IPs), Worm (151 targets)
T1562Impair Defensesmdrfckr (chattr -ia, kill competitors, clear hosts.deny)

Key indicators of compromise across all 6 networks. Full IOC tables available in individual reports.

NetworkIPASNCountryRole
SIM/Telegram178.160.209.67AS12297๐Ÿ‡ฆ๐Ÿ‡ฒ ArmeniaFirst bot (Day 1)
90.76.178.5AS3215๐Ÿ‡ซ๐Ÿ‡ท FranceOctoPrint 3D printer bot
171.241.43.241AS7552๐Ÿ‡ป๐Ÿ‡ณ VietnamKNXnet/IP building automation bot
mdrfckr198.98.56.205AS53667๐Ÿ‡บ๐Ÿ‡ธ FranTechIRC C2 (bullshit-irc.net)
101.47.159.125AS150436๐Ÿ‡ธ๐Ÿ‡ฌ BytePlusTikTok cloud compromised
182.93.50.90AS4609๐Ÿ‡ฒ๐Ÿ‡ด Macau180+ CVEs, ancient PHP
SSHD Worm180.76.175.142AS38365๐Ÿ‡จ๐Ÿ‡ณ BaiduCompromised AI server
107.175.150.94AS36352๐Ÿ‡บ๐Ÿ‡ธ ColoCrossingregreSSHion CVE, proxy-tagged
Private Layer179.43.133.154AS51852๐Ÿ‡จ๐Ÿ‡ญ Switzerland225-port proxy farm
179.43.139.58AS51852๐Ÿ‡จ๐Ÿ‡ญ Switzerland125-port proxy farm
ISAEV87.251.64.146AS200730๐Ÿ‡ต๐Ÿ‡ฑ WarsawRecon script executor
87.251.64.176AS200730๐Ÿ‡ต๐Ÿ‡ฑ WarsawWorkhorse (506 sessions)
ERP Targeting66.175.212.125AS63949๐Ÿ‡บ๐Ÿ‡ธ LinodePrimary spray node, 685 attempts
45.79.134.22AS63949๐Ÿ‡บ๐Ÿ‡ธ Linode18 ports, likely C2 panel
Key Behavioral IOCs: 345gs5662d34:345gs5662d34 (mdrfckr marker) ยท D877F783D5D3EF8Cs (targeted Telegram fingerprint) ยท SSH key SHA256:MkYY9qiVsFGBC5WkjoClCkwEFW5iSjcGQF7m4n4H7Cw (mdrfckr) ยท Binary SHA256:94f2e4d8d...a4c00 (worm sshd) ยท Payload SHA256:a8460f446b...9f8f2 (mdrfckr miner) ยท DNS probe \x00\x16\xab\xcd to 1.1.1.1:53 for a.to (ISAEV tunnel test)

Five days after this dossier's cutoff (April 26), continued honeypot monitoring captured 8 additional IPs running the same toolkit with a rotated SSH backdoor key. Three of the IOC IPs published above reappeared in the new wave. The investigation closed on 2026-05-01 with the expanded TI-2026-008 dossier.

๐Ÿ”— Three published mdrfckr IOC IPs reappeared in TI-008
IPRole in TI-007 (mdrfckr)Role in TI-008 (Backdoor-Key Harvester)
198.98.56.205IRC C2 (bullshit-irc.net), FranTech AS53667Dropper, 2026-04-11 11:06
101.47.159.125"TikTok cloud compromised", BytePlus AS150436Dropper, 2026-04-09 โ†’ 04-11
182.93.50.90"180+ CVEs, ancient PHP", CTM Macau AS4609Dropper, 2026-03-30 โ†’ 04-19 (19d)
๐Ÿงฌ Identical toolkit โ€” same family signature

Every TTP documented for mdrfckr above is reproduced byte-for-byte in TI-008's 31-host roster:

  • cd ~; chattr -ia .ssh; lockr -ia .ssh (TI-008 captured the actual binary name lockr โ€” semantic equivalent of chattr -ia, undocumented in TI-007's mdrfckr writeup)
  • rm -rf /tmp/secure.sh /tmp/auth.sh; pkill -9 secure.sh auth.sh; echo > /etc/hosts.deny โ€” competitor-eviction sequence
  • 12-character per-bot random root password via chpasswd|bash with passwd-interactive fallback on hardened hosts
  • Marker credential 345gs5662d34:345gs5662d34 โ€” TI-007 logged it as the universal mdrfckr signature; in TI-008 it appears in 103.187.146.90's captured credential list (also root/3245gs5662d34 as a typo'd variant)
  • 19-command attack sequence (key install โ†’ recon โ†’ cleanup โ†’ fingerprint) โ€” identical ordering and timing (~700 ms between commands)
๐Ÿ”‘ SSH backdoor key was rotated between waves
TI-007 โ€” March 21 to April 26
SHA256: MkYY9qiVsFGBC5WkjoClCkwEFW5iSjcGQF7m4n4H7Cw
comment: mdrfckr
TI-008 โ€” March 28 to May 1
MD5: 13:47:1e:8f:5a:18:fc:8e:35:0a:51:cc:7d:b4:06:61
comment: (none โ€” stripped)

The two keys are different RSA pairs (different fingerprints, different blob prefixes). The operator rotated the key between the two waves โ€” and removed the mdrfckr comment, presumably because TI-007 publication made the original comment a recognizable IOC. Same operator, same toolkit, fresh key.

๐Ÿ“Œ What the continuation tells us

The mdrfckr operator is still active. The 23-IP roster published in this dossier is a snapshot, not the full population โ€” TI-008 expanded it to 31 confirmed dropper IPs across 22+ countries, and even those are just the ones that hit one honeypot. The campaign survived the publication of TI-007 by rotating the most obvious IOC (the SSH key comment), but kept every other TTP intact โ€” the same competitor-eviction sequence, the same per-bot password rotation, the same marker credential. For defensive purposes, treat mdrfckr and Backdoor-Key Harvester as one continuous campaign; for blocklisting, both rosters should be combined; and for monitoring, watching for the marker credential 345gs5662d34 remains the most reliable family-level detection because the operator clearly does not consider it worth changing.

Investigation Period: March 21 โ€“ April 26, 2026 (36 days) ยท Closed: 2026-05-01 via TI-2026-008 โ€” The Backdoor-Key Harvester ยท Analyst: Liศ™neanu Dumitru-Cristian + Copilot SOC ยท Classification: TLP:WHITE โ€” Public ยท Data Source: Cowrie SSH Honeypot ยท OSINT Sources: Shodan InternetDB, IPinfo, GreyNoise, RIPE RDAP, LACNIC, AbuseIPDB, VirusTotal ยท 6 Individual Reports: LSN-TI-2026-0042 (SIM), TI-2026-0425-MDRFCKR, TI-2026-0425-SSHD, TI-2026-0426-PRIVATELAYER, TI-2026-0426-ISAEV, TI-2026-0425-ERP
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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