LSN โ€” Local Sovereign Network

๐Ÿ”ด EXPANSION โ€” Operation Shadow Nexus Part D ยท The Human Cost ยท Exposed Databases ยท Education Networks ยท The Infrastructure of Vulnerability

TI-2026-019D โ€” "The Open Doors" โ€” 156 MySQL, 74 PostgreSQL, 5 MongoDB Databases Exposed on Compromised Infrastructure Attacking the Internet

TI-2026-019D ยท Published June 9, 2026 ยท Part D of Operation Shadow Nexus ยท Confidence: HIGH

๐Ÿ“‹ The Dual Threat

This dossier presents the other side of the coin. Parts A-C documented who is attacking and how they profit. Part D asks: what are the attackers leaving behind, and what data is exposed on the infrastructure they've already compromised?

Among the 7,614 IPs actively attacking our honeypot, Shodan reveals that 156 expose MySQL, 74 expose PostgreSQL, 5 expose MongoDB, 19 expose RDP, and 13 expose Redis โ€” all on IPs with threat scores above 50. These are not just attackers. These are compromised systems with databases that are simultaneously attacking others AND exposing their own data.

When those databases belong to universities (student records), telecoms (subscriber data), hospitals (medical records), or government agencies (citizen data) โ€” the human cost of a single SSH brute-force becomes catastrophic.

๐Ÿ—„๏ธ Exposed Database Services on High-Threat Attacking IPs (score > 50)
156
MySQL (3306)
74
PostgreSQL (5432)
19
RDP (3389)
13
Redis (6379)
5
MongoDB (27017)
2
Oracle (1521)

๐Ÿซ SEGMENT 1: Education Networks โ€” Student Data at Risk

InstitutionCountryThreatExposed ServicesImpact
Hanoi University of Science & Technology๐Ÿ‡ป๐Ÿ‡ณ100443 (hosts ACM AsiaCCS 2025 cybersecurity conference!)A cybersecurity conference website attacking the internet
TERNET (Tanzania, 67+ universities)๐Ÿ‡น๐Ÿ‡ฟ100SSH only (41.93.28.9)Plants mdrfckr backdoor globally
ZAMREN (Zambia Research/Education)๐Ÿ‡ฟ๐Ÿ‡ฒ10080, 2222, 8000Web + alt-SSH + dev server exposed
Koforidua Technical University๐Ÿ‡ฌ๐Ÿ‡ญ10021, 161, 443, 2000, 8291, 8728MikroTik router directly compromised
RENATA (Colombia Academic Network)๐Ÿ‡จ๐Ÿ‡ด10022, 25, 443, 8080Email + web + proxy exposed
Kajeh Nasir Toosi University๐Ÿ‡ฎ๐Ÿ‡ท50โ€”Iranian university attacking
๐ŸŽ“ THE IRONY OF IRONYIES

Hanoi University of Science and Technology (HUST) โ€” IP 202.191.58.34 โ€” is simultaneously:

  • Hosting asiaccs2025.hust.edu.vn โ€” the ACM Asia Conference on Computer and Communications Security 2025 website
  • Hosting bkcs.hust.edu.vn โ€” the university's Computer Science department
  • Registered as a threat score 100 attacker in our honeypot

A cybersecurity conference's own hosting infrastructure is compromised and attacking the internet. The people presenting papers about defending against SSH attacks are hosted on infrastructure that IS an SSH attack.

๐Ÿงฎ WHAT STUDENT DATA IS AT RISK?

When a university network is compromised by botnet malware (confirmed: TERNET, HUST, ZAMREN, Koforidua, RENATA), the attacker has access to:

  • Student Information Systems โ€” names, national IDs, addresses, phone numbers, grades, financial aid status
  • Research data โ€” unpublished papers, grant proposals, experimental data, intellectual property
  • Email systems โ€” all communications between faculty, students, and administration
  • Medical records โ€” university health centers (TERNET connects medical universities)
  • Financial systems โ€” tuition payments, salary information, bank account details

For Koforidua Technical University (Ghana): the exposed MikroTik API port (8728) means the router itself is compromised. This enables: traffic interception of ALL university traffic, DNS poisoning to redirect students to phishing sites, and credential capture at the network layer.

Total students potentially affected: TERNET alone connects 67+ institutions with estimated 200,000+ students. HUST has 40,000+ students. ZAMREN serves all Zambian universities. Conservative estimate: 500,000+ student records accessible through compromised education networks in our dataset.

๐Ÿฅ SEGMENT 2: Viettel Military โ€” Databases on a Military Network

Three Viettel Group IPs expose database ports to the public internet:

IPThreatExposed PortsRisk
171.244.37.975022, 443, 5005, 27017MongoDB (often no auth by default)
171.244.37.1035022, 5432PostgreSQL exposed
125.212.243.144421, 53, 80, 443, 3306, 4444MySQL + Metasploit (4444)!
โš ๏ธ CRITICAL: PORT 4444 ON VIETTEL MILITARY NETWORK

IP 125.212.243.14 (Viettel, Vietnam People's Army) exposes port 4444 โ€” the default Metasploit reverse shell listener port. Combined with MySQL 3306 and FTP 21, this is either:

  • A compromised server running Metasploit payloads โ€” the botnet operator has planted a persistent reverse shell
  • An offensive security tool deliberately deployed โ€” Viettel's Cyber Security division (VCS) conducting operations

Either answer is alarming. If compromised: a foreign criminal group has a Metasploit shell on Vietnam's military telecom with database access. If deliberate: Vietnam's military is running offensive tools that are simultaneously attacking our honeypot.

What Viettel databases might contain:

Viettel serves 77 million subscribers in Vietnam alone, plus operations in 10 countries (Myanmar, Laos, Cambodia, Haiti, Mozambique, Tanzania, Burundi, Cameroon, Peru, East Timor). A compromised database on Viettel infrastructure could expose:

  • Subscriber identity data (required by Vietnamese law for SIM registration)
  • Call detail records (CDRs) โ€” who called whom, when, for how long
  • Location data from cell towers
  • Mobile payment/Viettel Pay transaction records
  • In countries like Myanmar: opposition movement communications during military coup

๐ŸŒ SEGMENT 3: Korea Telecom โ€” A Nation's Database Ports Wide Open

Korea Telecom (AS4766) โ€” serving 90% of South Korea's fixed-line internet โ€” has 90 IPs in our dataset with an extraordinary range of exposed services:

Critical Exposed Ports on Korea Telecom IPs (attacking our honeypot):

1521 โ€” Oracle Database
3306 โ€” MySQL
5432 โ€” PostgreSQL
3389 โ€” RDP (Remote Desktop)
1883 โ€” MQTT (IoT)
5900 โ€” VNC (screen share)
6379 โ€” Redis (cache)
8333 โ€” Bitcoin node
7547 โ€” TR-069 (ISP remote management)
๐Ÿงฎ THE RESIDENTIAL DEVICE PROBLEM

Korea Telecom's exposed services tell a story of massively compromised residential and small-business devices:

  • Port 7547 (TR-069) โ€” ISP remote management protocol. If exposed and compromised, an attacker can remotely reconfigure every customer's router connected to this management server. The Mirai botnet exploited exactly this vulnerability in the 2016 Deutsche Telekom attack (900,000 routers offline).
  • Port 8333 (Bitcoin) โ€” A Korea Telecom customer running a Bitcoin full node. If this device is compromised and attacking our honeypot, the Bitcoin wallet on it is also compromised.
  • Port 1883 (MQTT) โ€” IoT messaging protocol. Smart home devices, industrial sensors, medical devices. All connected, all potentially leaking data through a compromised gateway.
  • Oracle Database (1521) on a Korea Telecom IP at threat score 100 โ€” this is likely a business server (small/medium enterprise) with customer data, financial records, or inventory systems. Compromised AND attacking the internet simultaneously.

South Korea context: With 52 million population and 90% KT market share, approximately 47 million people depend on Korea Telecom infrastructure. The 90 compromised IPs we see are the tip โ€” they're the ones actively attacking. The compromised devices NOT attacking (just mining, or dormant) are invisible to us.

๐Ÿ” SEGMENT 4: The Cascade Effect โ€” When Attackers ARE the Vulnerable

The traditional security model assumes attackers and victims are separate. Our data reveals they're often the same machine. A server compromised by the Outlaw botnet becomes BOTH:

  • An attack platform (scanning, brute-forcing, planting backdoors)
  • A data exposure point (its own databases, services, and user data are accessible to the botnet operator AND to anyone else who scans it)
THE CASCADE: Step 1: Outlaw botnet compromises server via SSH brute-force Step 2: Plants backdoor (mdrfckr key + unique root password) Step 3: Deploys XMRig miner (revenue generation) Step 4: Server begins attacking OTHER targets (worm propagation) Step 5: Meanwhile, the server's OWN databases remain exposed Step 6: The botnet operator now has access to those databases Step 7: OTHER attackers scanning the internet ALSO find those databases Step 8: The original organization has NO IDEA any of this is happening Result: One SSH compromise = mining revenue + attack platform + data breach Multiplied by 50,000-100,000 hosts = GLOBAL data catastrophe
๐Ÿ“Š SCALE OF DATA EXPOSURE (Conservative Estimate)
Database servers exposed in our dataset (threat > 50)250+
Average records per small business database10,000 โ€” 100,000
Average records per telecom subscriber DB1,000,000+
Average records per university SIS20,000 โ€” 200,000
Conservative total data exposure estimate2.5M โ€” 25M records

This is from OUR dataset of 7,614 IPs alone. We observe a single honeypot. The actual number of compromised databases globally is orders of magnitude larger.

๐Ÿ‘ถ SEGMENT 5: The Children's Data Connection

When education networks serving children and young adults are compromised, the exposed data has unique vulnerability characteristics that distinguish it from typical breaches:

๐Ÿงฎ WHY CHILDREN'S DATA IS DIFFERENT
  • Long exploitation window: A stolen adult identity averages 2 years before detection. A stolen child's identity averages 7-10 years โ€” because children don't check credit reports, don't apply for loans, and parents rarely monitor child credit.
  • Clean credit history: Children's SSN/national IDs have zero credit history โ€” perfect for creating synthetic identities. Each child's record is worth $25-50 on dark web markets vs. $1-5 for adults.
  • Permanent damage: By the time a child turns 18 and applies for their first loan or rental, their credit may already be destroyed. Remediation takes 2-5 years of disputes.
  • COPPA/GDPR-K violations: Organizations storing children's data under COPPA (US) or GDPR Article 8 (EU) face enhanced fines for breaches โ€” up to $50,000 per child in the US. But when the breach is in Tanzania, Ghana, or Vietnam โ€” there IS no enforcement.

TERNET (Tanzania): Connects universities but ALSO teacher training colleges and secondary school networks. Estimated 200,000+ students, many under 18. Their data is accessible to whoever controls the mdrfckr backdoor on 41.93.28.9.

Koforidua Technical University (Ghana): Router-level compromise (MikroTik API exposed) means ALL traffic โ€” including student registration, exam results, financial aid applications โ€” can be intercepted in real-time.

The geographic pattern is not random. Five of six compromised education networks are in Africa (Tanzania, Zambia, Ghana) or developing Asia (Vietnam, Colombia). These are countries where:
  • Data protection laws exist on paper but lack enforcement capacity
  • Security budgets are below subsistence level (TERNET CEO: "nearly failed to pay staff")
  • International development funding built the networks but didn't fund ongoing security
  • The Budapest Convention doesn't apply
  • Children and young adults have the LEAST ability to detect or respond to identity theft
The most vulnerable people, in the most vulnerable countries, protected by the weakest institutions, connected by infrastructure funded by the international community and now weaponized against it. This is not accidental. This is the predictable consequence of building infrastructure without funding its defense.

โš–๏ธ SEGMENT 6: Who Is Responsible?

The chain of responsibility for a compromised education network:

ActorResponsibilityAccountability
The Attacker (Outlaw gang)Committed the intrusionZero โ€” operating from Romania/Portugal, no extradition treaties with victims
The Institution (e.g., TERNET)Failed to secure infrastructureMinimal โ€” no budget, no staff, no regulatory enforcement
The Donor (EU AfricaConnect2)Built infrastructure without securityNone โ€” project delivered, grant closed, no ongoing obligation
The Transit ProviderCarries attack trafficNone โ€” common carrier protections
The Cloud Provider (hosting C2)Hosts command infrastructureNone โ€” shared responsibility model
The RegulatorShould enforce data protectionNon-existent in most affected jurisdictions
The Students/ChildrenNone whatsoeverBear 100% of the consequences

The accountability gap is total. Every actor in the chain has either legal immunity, jurisdictional protection, or insufficient resources to be held responsible. The only party that bears actual consequences is the one with zero agency in the matter: the students whose data is exposed.

This is not a technical problem. It's a systemic design choice. The internet was built without accountability architecture. Every layer optimizes for throughput, not safety. And the cost is paid by those least able to afford it.

๐Ÿ“Ž Sources (Part D)

๐Ÿ“„ Direct honeypot observation โ€” 6 education network IPs with threat scores 50-100
๐Ÿ“„ Shodan port data โ€” database exposure verified via Shodan integration
โš–๏ธ Note: We have NOT accessed any exposed databases. We observe only that database ports are publicly reachable (via Shodan data) on IPs that are actively attacking our honeypot (confirmed by direct observation). The contents of those databases are unknown to us. The data exposure estimates are statistical projections based on typical database sizes for the institution types identified.
Methodology: Passive SSH honeypot ยท Shodan port intelligence ยท ASN organizational analysis ยท Statistical estimation ยท No databases were accessed ยท No unauthorized scanning was performed
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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