๐ค TI-2026-025D โ The Victims: Who Pays When Nobody Counts the Cost
Executive Summary: The mdrfckr/Outlaw botnet does not attack "computers." It attacks the Ethiopian nurse whose hospital server stops responding. The Indonesian university student whose research cluster runs 30% slower. The Korean small business whose electricity bill inexplicably doubled. The Bangladeshi ISP customer whose internet connection degrades because their provider's backbone is saturated with mining pool traffic. Every compromised machine has a human being behind it โ someone who will never know why their infrastructure failed, who will never file an abuse report, who will never appear in any statistic.
This investigation maps the human topology of victimization: 30 countries, 81+ active nodes, $150,000-300,000/month in stolen electricity, and an asymmetry so extreme that the botnet extracts its maximum value from those with the least capacity to detect, report, or remediate. This is not random. This is predation optimized for impunity.
Chapter 1: The Perfect Asymmetry โ Maximum Extraction, Minimum Detection
Consider two scenarios. In one, a botnet compromises 100 servers at Goldman Sachs. In the other, it compromises 100 servers across Ethiopia, Bangladesh, Indonesia, Pakistan, and Vietnam. In which scenario does the botnet survive longer?
Goldman Sachs has a 24/7 SOC, anomaly detection, threat hunting teams, and a legal department that will pursue attackers across jurisdictions. Average time to detection: hours. The developing-world scenario: no SOC, no monitoring, no budget for forensics, no legal recourse. Average time to detection: months to never.
The mdrfckr botnet has solved this optimization problem perfectly. Our data:
| Victim Category | IPs (Our Data) | Avg Threat Score | Detection Capability | Remediation Budget |
|---|---|---|---|---|
| State Monopoly ISPs (ET, VN, ID) | 40+ | 75 | None/Minimal | $0 |
| Cloud VMs (Azure, DO, BytePlus) | 25+ | 65 | Automated (ignored) | Customer's problem |
| Academic/Research Networks | 8+ | 70 | Low priority | $0 |
| Small ISPs (Pakistan, Bangladesh) | 12+ | 68 | None | $0 |
| Consumer broadband (Korea, Brazil) | 20+ | 72 | Router-level only | Customer's problem |
โ Is the Geographic Targeting Deliberate or Emergent?
The botnet uses automated scanning โ it doesn't "choose" victims. It scans IP ranges and tries credentials. So how does it end up concentrated in developing countries?
The scanning is random but the success is not. The botnet succeeds where: (1) SSH password authentication is enabled (default in most Linux installs), (2) passwords are weak or default, (3) patches are years behind, (4) nobody is monitoring. These conditions correlate perfectly with poverty, understaffing, and institutional weakness. The scanner doesn't discriminate โ the internet's security distribution does. The botnet doesn't target the weak. The internet is structured so that the weak are the only ones vulnerable.
โ Why Don't Victims Know They're Compromised?
In our 24-day observation window, 81+ machines were actively propagating. Most have been compromised for months or years.
The miner disguises itself as kswapd0 (kernel memory management). The IRC bot disguises as rsync (backup utility). The only visible symptom: high CPU usage and elevated electricity bills. In Ethiopia, where electricity is heavily subsidized for institutional users, the bill difference may be $5-10/month โ invisible in a budget. In Indonesia, the sysadmin who might notice was fired in budget cuts two years ago. In Bangladesh, the server is in a closet and nobody has the password to log in anymore. The botnet persists because the humans who could detect it have been economically eliminated from the infrastructure they nominally maintain.
๐ Reading Between the Lines
- If a thief only robs houses without alarm systems, we don't conclude the thief is "random." We conclude the thief is optimized. The mdrfckr botnet's distribution map is not random โ it's the shape of global inequality rendered as IP addresses.
- The botnet's survival depends on its victims being too poor, too understaffed, or too overwhelmed to notice. This is not a bug in the criminal's strategy โ it IS the strategy.
- Every "best practice" recommendation (disable password auth, implement key management, deploy IDS) assumes resources the victims don't have. The recommendations are written for organizations that don't need them, by people who will never visit the organizations that do.
Chapter 2: Ethiopia โ 120 Million People, One ISP, Zero Security Team
Ethio Telecom is a state monopoly. It serves 120 million people. It is the only telecommunications provider in Ethiopia. When the mdrfckr botnet compromises Ethio Telecom infrastructure, there is no alternative. No competitor. No redundancy. No escape.
Our threat intelligence platform tracks 16 Ethio Telecom IP addresses (AS24757) with documented malicious activity:
| IP | Threat | Abuse | Honeypot Hits | Classification |
|---|---|---|---|---|
| 196.189.116.182 | 100 | 100% | 31 | GreyNoise: malicious |
| 196.189.51.246 | 58 | 100% | โ | Active scanner |
| 197.156.83.94 | 53 | 100% | โ | Active scanner |
| 196.188.56.190 | 50 | 100% | โ | GreyNoise: unknown |
The top Ethio Telecom IP (196.189.116.182) hit our honeypot 31 times in a single day (May 23, 2026) โ an aggressive scan pattern indicating automated propagation from a compromised server.
๐ช๐น The Human Behind 196.189.116.182
This IP belongs to someone. It might be a government ministry server, a hospital's patient records system, a university's email server, or an agricultural extension office connecting rural farmers to market prices. We cannot know. What we know: it spent May 23 attacking the entire internet on behalf of Romanian criminals. Nobody at Ethio Telecom was notified. Nobody will investigate. Nobody will remediate.
RDAP contact: seid.degu@ethiotelecom.et (NOC) and wondwossen.demissie@ethiotelecom.et (abuse). Has anyone ever emailed them about this? Probably not. Would they have the tools to respond? Almost certainly not.
โ What Does It Mean When a State Monopoly's Infrastructure Becomes a Botnet Node?
In competitive markets, a compromised ISP loses customers. In a monopoly, the customers cannot leave.
Ethio Telecom has no market incentive to secure its infrastructure. Its customers have no alternative. Its government owner prioritizes revenue extraction (the state is the sole shareholder). Security is a cost center with zero return in a monopoly environment. The result: 120 million people's telecom infrastructure is defended by whatever budget remains after the government takes its dividends. The mdrfckr botnet exploits not just weak passwords but weak governance โ the specific structural vulnerability of state monopoly telecoms in developing nations.
โ Ethiopia Earns $200M from Bitcoin Mining โ Yet Can't Secure Its Own Infrastructure?
Ethiopia Electric Power earned $200 million from Bitcoin miners in H1 2025. Ethiopia's telecom infrastructure is simultaneously being exploited for unauthorized cryptocurrency mining.
The irony is structural: Ethiopia sells electricity to legitimate miners (who pay) while Romanian criminals steal electricity through compromised Ethio Telecom servers (who don't). The state earns from one and loses from the other, but the loss is invisible because nobody is counting. The $200M mining revenue makes headlines. The $50,000-100,000/year in stolen compute from Ethio Telecom infrastructure appears in no budget line, no audit, no report. It is the perfect crime: theft from an entity that doesn't know it's being robbed.
Sources: BitcoinKE (Aug 2025) ยท LSN Threat Intel (Ethio Telecom AS24757 analysis)
๐ Reading Between the Lines
- A country that earns $200M from legitimate mining but cannot prevent $100K in stolen mining reveals priorities: revenue generation > infrastructure security. The miners who pay are visible. The parasites who steal are invisible. Governance optimizes for what it can see.
- Ethio Telecom's RDAP contacts have names. Real people: Seid Degu, Wondwossen Demissie. They maintain the NOC for 120 million people. They probably handle everything from billing disputes to cable cuts. SSH botnet remediation is not in their job description. It's not in anyone's.
- When we talk about "critical infrastructure" in Western contexts, we mean power grids and water treatment. In Ethiopia, the telecom IS critical infrastructure โ it's the agricultural extension system, the banking backbone, the health coordination network. Compromising it doesn't just waste electricity. It degrades everything built on top of it.
Chapter 3: South Korea โ High Bandwidth, High Value, High Blindspot
South Korea has some of the world's fastest internet. Korea Telecom (AS4766) operates backbone infrastructure serving 50+ million people. Our platform tracks 13 Korea Telecom IPs with threat scores above 70:
| IP | Threat | Abuse | Hits | First Seen |
|---|---|---|---|---|
| 222.108.100.117 | 100 | 100% | 46 | May 2026 |
| 211.46.188.16 | 99 | 100% | 38 | May 2026 |
| 221.156.126.1 | 93 | 100% | 43 | May 2026 |
| 59.12.160.91 | 93 | 100% | 50 | May 2026 |
| 183.104.26.197 | 83 | 100% | 35 | May 2026 |
| 183.110.116.65 | 82 | 100% | 34 | May 2026 |
| 222.110.147.58 | 80 | 100% | 24 | May 2026 |
| 125.138.175.113 | 78 | 100% | 26 | May 2026 |
โ Why Is South Korea โ a Technologically Advanced Nation โ So Heavily Compromised?
Korea has 5G, Samsung, LG, KAIST. Why are 13+ Korea Telecom servers mining Monero for Romanian criminals?
Two factors: bandwidth and legacy. Korea's internet is so fast that compromised servers make excellent propagation nodes โ each Korean zombie can scan and infect more targets per hour than an Ethiopian one. Second, Korea's rapid digitalization in the 2000s left behind a forest of unmanaged Linux servers โ web hosting, SME servers, research systems โ that were set up once and never touched again. Korea Telecom's residential and business customers include thousands of small businesses running 10-year-old CentOS installations with SSH password auth. Technological advancement doesn't eliminate legacy โ it hides it.
โ What Does 50 Honeypot Hits From a Single Korean IP Mean?
IP 59.12.160.91 hit our honeypot 50 times. Our honeypot is one machine among billions. Extrapolate.
If one bot hits one random honeypot 50 times in 30 days, it's scanning aggressively โ approximately 100,000-500,000 IPs per day. 13 Korean bots doing this simultaneously means Korea Telecom's network is generating approximately 1-5 million outbound SSH scan attempts per day from compromised customer equipment. Korea Telecom's abuse desk receives these reports. They send notification emails to customer email addresses that were abandoned when the admin changed jobs. The cycle continues.
Chapter 4: Indonesia โ 270 Million People Digitizing Without Security
PT Telekomunikasi Indonesia (Telkom, AS7713) serves the world's fourth-largest population. Our data shows 52 Indonesian IPs with threat scores above 50, averaging 69.98. Indonesia ranks 14th globally for high-threat IPs in our database.
๐ฎ๐ฉ The Indonesian Expansion
Indonesia is digitizing at extraordinary speed: e-government, digital banking, online education, telemedicine. Every new service means new servers. Every new server with default credentials means a new potential botnet node. The country is racing to digitize faster than it can secure. The mdrfckr botnet is the tax on that race โ extracting value from every server that goes online with SSH password authentication enabled.
| IP | Threat | Abuse | Hits | Org |
|---|---|---|---|---|
| 180.252.151.254 | 100 | 100% | 31 | PT Telekomunikasi Indonesia |
| 36.91.81.195 | 88 | 100% | 34 | PT Telekomunikasi Indonesia |
| 180.243.191.141 | 84 | 100% | 31 | PT Telekomunikasi Indonesia |
| 222.124.177.148 | 88 | 100% | 4 | Telkomnet-AS-AP |
โ What Happens When a Country Digitizes Faster Than It Can Secure?
Indonesia's Palapa Ring connected every province with fiber in 2019. Digital infrastructure expanded 10x in a decade. Security staffing did not.
You get exactly what we observe: every new server that comes online with password authentication is a new botnet node within weeks. The gap between connectivity and security is the botnet's habitat. Indonesia didn't create the vulnerability through negligence โ it created it through ambition. The political imperative to digitize (close the digital divide, enable e-government, modernize banking) always outpaces the unglamorous work of securing what was deployed. The mdrfckr botnet feeds on the gap between aspiration and capability.
๐ Reading Between the Lines
- Chainalysis 2025 reports Indonesia among the top victim countries for crypto-related crime. Not coincidence: widespread digitization + weak security + low enforcement = ideal target environment.
- PT Telkom is partially state-owned (52.09% government). Like Ethio Telecom, it serves national interests. Unlike Ethio Telecom, it has competition (Indosat, XL Axiata). Yet the compromised servers persist โ even market competition doesn't automatically produce security.
- The "Palapa Ring" was named after a medieval oath of unity. The irony: the infrastructure meant to unite the archipelago now unites it in vulnerability. Every province connected by fiber is a province accessible to the botnet.
Chapter 5: The Cloud Victims โ When "Your Problem" Is Everyone's Problem
The "shared responsibility model" of cloud computing says: the provider secures the infrastructure, the customer secures the workload. In practice:
| Cloud Provider | Compromised IPs | Avg Threat | Abuse Score | Detection Action |
|---|---|---|---|---|
| BytePlus/ByteDance (AS150436) | 7+ | 78 | 100% | None observed |
| Microsoft Azure (AS8075) | 37+ | 55 | Mixed | Varies |
| DigitalOcean (AS14061) | 6+ | 54 | 85-100% | Limited |
| Tencent Cloud (AS132203) | 3+ | 50 | High | None observed |
โ When BytePlus Has 7 IPs at 100% Abuse Score, What Is the "Shared Responsibility"?
BytePlus (ByteDance/TikTok's cloud arm) has customers whose VMs are actively mining Monero and scanning the internet. All at maximum abuse confidence.
The shared responsibility model was designed for sophisticated customers who understand security. When the customer is a startup in Southeast Asia that deployed a $5/month VM two years ago and forgot about it, "shared responsibility" means "nobody's responsibility." BytePlus could detect mining (100% CPU for days is anomalous), could detect scanning (outbound SSH to random IPs is anomalous), could notify the customer. They don't โ because detection costs money, notification risks customer churn, and the compromised VM is still paying its monthly bill. The shared responsibility model converts customer ignorance into provider revenue.
โ Do Cloud Providers Financially Benefit From Compromised VMs?
A VM mining at 100% CPU may trigger autoscaling. A VM scanning thousands of IPs generates network traffic. Both are billable.
We cannot prove intent. We can observe incentive alignment: (1) A compromised VM consuming maximum CPU will not be voluntarily terminated by the provider (lost revenue). (2) If the customer enabled autoscaling, the compromise generates additional revenue. (3) Detecting compromise requires investment; not detecting generates revenue. The incentive structure makes non-detection the profit-maximizing strategy. We cannot say "they benefit deliberately." We can say "the structure ensures they benefit regardless of intent."
โ What If Every Compromised Cloud VM Were Immediately Terminated?
Imagine a world where Azure, BytePlus, and DigitalOcean instantly killed VMs showing mining behavior.
The botnet would lose ~30% of its nodes overnight. But: (1) the operators would simply re-compromise new VMs (the vulnerability is SSH credentials, not cloud-specific), (2) legitimate crypto miners would be caught in the crossfire, (3) cloud providers would face customer anger over false positives. The cost of aggressive detection exceeds the cost of tolerance. This is why it doesn't happen. Not because it's impossible โ because it's unprofitable.
๐ Reading Between the Lines
- ByteDance operates TikTok, which has 1.5 billion users. Its cloud arm hosts VMs that mine Monero for criminals. The reputational risk calculation: $0 (nobody connects "BytePlus AS150436" to "TikTok"). The technical reality: TikTok's corporate sibling literally hosts botnet nodes.
- Microsoft spends $20 billion/year on security. It has 37+ IPs in our threat database from Azure alone. The money goes to selling security products โ not to securing its own customers' workloads.
- DigitalOcean's $5/month droplets are the perfect disposable botnet node. So cheap that the customer may never check. So ephemeral that abuse reports arrive after the VM is already abandoned. The business model is structurally compatible with malicious use.
Sources: LSN Threat Intel Platform ยท IBM โ What is Cryptojacking ยท BlackFog โ Cryptojacking Trends
Chapter 6: Pakistan and Bangladesh โ The Invisible Victims
Grand Tel Private Limited (AS142063, Pakistan) and Multilink International (AS142627, Bangladesh) appear in our data as both sources of attacks and victims of compromise:
| Entity | Country | IPs in DB | Top Threat | Context |
|---|---|---|---|---|
| Grand Tel Private Limited | ๐ต๐ฐ | 3+ | 100 | Small ISP, provincial coverage |
| Multilink International | ๐ง๐ฉ | 20+ | 68 | ISP serving Dhaka region |
| Viettel Corporation | ๐ป๐ณ | 8+ | 73 | Military-owned telecom, 75M subscribers |
โ What Is Grand Tel Private Limited?
A small Pakistani ISP. Our database shows IP 103.166.103.173 with threat score 100, abuse confidence 100%, 43 honeypot hits.
Grand Tel likely has 1-5 employees. Their "security team" is whoever set up the servers. Their "abuse desk" is the same person's personal email. When AbuseIPDB sends automated reports about 103.166.103.173, those emails probably go to a Gmail account that's checked weekly. The server is compromised because nobody has the expertise, time, or budget to investigate. The victim is too small to defend themselves and too small for anyone else to care.
โ Who Are the End-Users Behind Multilink International?
20 Multilink IPs in our database. This is a Bangladeshi ISP serving businesses and residential customers in Dhaka.
Behind those 20 IPs: garment factory management systems (Bangladesh exports $40B in textiles), microfinance platforms serving rural women, pharmaceutical distribution networks, school administration systems. Each compromised server means slower access for every downstream user. The garment factory's order system runs 30% slower โ they don't know why, they assume "Bangladesh internet is just slow." The victim blames infrastructure poverty for what is actually parasitic extraction.
๐ป๐ณ Viettel Corporation โ Military Telecom as Botnet Substrate
Viettel (AS24086) is owned by Vietnam's Ministry of Defense. It serves 75 million subscribers. Our platform shows 8 Viettel IPs with average threat score 73. A military-owned telecom's infrastructure being used for Romanian cryptocurrency mining is not merely a security failure โ it is a sovereignty failure. Foreign criminals extracting value from military-owned infrastructure without consequence.
๐ Reading Between the Lines
- Grand Tel's 103.166.103.173 has a threat score of 100 โ the maximum possible. This means it has been attacking the internet for so long, from so many angles, with such volume, that every reputation system has flagged it at maximum severity. And still nobody has fixed it. Because there is nobody to fix it.
- The Global South's ISPs serve as the unwilling muscle for Global North criminals. Romanian operators extract Monero through Pakistani and Bangladeshi infrastructure. The flow of value follows colonial patterns: raw resources (compute power) extracted from the periphery, processed in the core (mining pools), profits retained by the metropolitan criminals.
- Viettel is military-owned. In any other context, foreign exploitation of military infrastructure would be an act of cyber warfare. Because it's cryptocurrency mining, it's filed under "cybercrime" โ a category that implies manageable, domestic, law-enforcement-appropriate response. But the structural reality is: foreign actors are using your military's networks without permission.
Chapter 7: Counting the Uncountable โ The True Cost Per Victim
Nobody has ever calculated the total damage of the mdrfckr botnet. Here's why: the victims don't know they're victims. The costs are hidden inside other budget lines. The damage is real but invisible.
| Cost Category | Per Victim/Month | ร10,000 nodes | Who Pays |
|---|---|---|---|
| Stolen electricity (100% CPU) | $15-30 | $150,000-300,000 | Victim org or taxpayer |
| Hardware degradation (thermal stress) | $4-8 | $40,000-80,000 | Victim (early replacement) |
| Bandwidth consumption (scan + mining) | $5-20 | $50,000-200,000 | ISP (overprovisioning) โ all customers |
| Opportunity cost (server can't serve) | $50-500 | $500,000-5,000,000 | Victim org + end users |
| Remediation (when discovered) | $500-5000 (one-time) | โ | Victim org |
| Reputational (IP blacklisted) | Unquantifiable | โ | Victim org |
โ Does the Botnet Cause More Damage Than It Earns?
Estimated botnet revenue: $10,000-100,000/month. Estimated damage: $750,000-5,500,000/month.
The damage-to-revenue ratio is approximately 50:1 to 75:1. For every dollar the operators earn in Monero, they cause $50-75 in damage to victims. This is the hallmark of parasitic crime โ the parasite is never efficient. It destroys more than it takes because it doesn't care about the host's survival. A legitimate miner would invest in efficient hardware and cheap power. The parasite uses whatever hardware it can steal, at whatever power cost the victim bears. Crypto-parasitism is the most economically destructive form of cybercrime per dollar earned.
โ Why Does Nobody Aggregate This Damage?
The FBI's IC3 reports losses by category. Interpol tracks ransomware payments. Nobody tracks cryptojacking damage.
Because the damage is distributed across 10,000+ victims in 84 countries, each losing $20-550/month, none filing reports. Ransomware is dramatic: one victim, large payment, clear event. Cryptojacking is invisible: thousands of victims, no payment demanded, no ransom note, no awareness. It doesn't appear in crime statistics because none of the victims know they're victims. The crime is invisible not because it's hidden but because the damage is too small per victim to cross anyone's reporting threshold โ while being enormous in aggregate.
Sources: BrightDefense Cybercrime Stats 2026 ยท Chainalysis 2025 Mid-Year Report ยท IBM Cryptojacking Impact Analysis
Chapter 8: Digital Colonialism โ The Uncomfortable Frame
Consider the flow:
- Ethiopian infrastructure (built with World Bank loans that Ethiopia repays with interest)
- Is compromised by Romanian criminals (EU citizens with freedom of movement and banking access)
- Who extract compute resources (electricity paid by Ethiopian taxpayers)
- To mine Monero (processed by HashVault, a European mining pool)
- Which is converted to fiat (through exchanges the operators can access but their victims cannot)
- Generating wealth in Romania (EU, โฌ800/month median salary โ botnet potentially exceeds this by 10-100x)
This is the structure of colonial resource extraction mapped onto cyberspace. Raw compute extracted from the periphery. Processed in the core. Profits retained by the metropolitan power.
โ Is "Digital Colonialism" Accurate or Inflammatory?
Colonialism implies deliberate state-backed extraction. This is criminal individuals. Different?
The structure is identical even if the agents differ. Replace "East India Company" with "mdrfckr operators." Replace "spices" with "CPU cycles." Replace "lack of military resistance" with "lack of cybersecurity capacity." The enabling condition is the same: asymmetric power between extractor and extracted. The legitimizing narrative is the same: "they should protect themselves better" (vs. "they should civilize themselves"). The profit flow is the same: periphery โ core. Calling it colonialism is descriptively accurate. It is uncomfortable because it implies that the structures enabling it are the same structures enabling other, "legitimate" global economic flows.
โ What If the Same Logic Applied to Physical Resources?
Imagine Romanian companies physically entering Ethiopia and taking electricity without paying. International incident. Sanctions. Possibly military response.
But when the same extraction happens through SSH, it's filed under "cybercrime." A law enforcement matter. Low priority. The difference: physical borders have guards; digital borders don't. Physical resource extraction requires presence; digital extraction requires only a compromised credential. The legal frameworks built for physical sovereignty have no equivalent for compute sovereignty. There is no digital territorial integrity. Your server's nationality provides zero protection.
โ Who Benefits From NOT Framing This as Colonial Extraction?
The security industry frames cryptojacking as a "threat" requiring "solutions" (products). Not as structural exploitation requiring systemic change.
If cryptojacking is a "threat," you sell endpoint protection. If it's colonial extraction, you need redistribution โ security capacity building, technology transfer, debt forgiveness for infrastructure investment. The product-solution framing generates revenue. The structural-solution framing generates political obligations. Every security vendor who sells "anti-cryptojacking solutions" to Fortune 500 companies (who don't need them) while ignoring the actual victims (who can't afford them) is maintaining the colonial structure while appearing to combat it.
๐ Reading Between the Lines
- The mdrfckr botnet has operated for eight years. In that time, the security industry has generated thousands of pages of analysis. Zero pages propose: "fund security capacity in the countries being exploited." Every page proposes: "buy our product." The solutions address the wrong problem for the wrong audience.
- Romanian EU membership means: freedom of movement, banking access, crypto exchange access, legal protection. Ethiopian status means: no extradition framework, no Europol cooperation, no ability to pursue the criminals. The international legal architecture amplifies the asymmetry.
- This dossier is written in English, published on the internet, readable by security professionals. It is not readable by the Ethiopian IT administrator whose server is compromised. The language of analysis is inaccessible to the subjects of analysis. This, too, is colonial.
Chapter 9: What Could Actually Help โ And Why It Won't Happen
| Action | Who Could Do It | Impact | Why It Won't Happen |
|---|---|---|---|
| Fund ISP security in developing nations | World Bank, ITU | High (prevents infection) | Not a lending category; no ROI metric |
| Default-disable SSH password auth | Linux distros (Ubuntu, CentOS) | Very high (kills the attack vector) | Breaks workflows; user complaints |
| Cloud providers detect + notify mining | Azure, BytePlus, DO | Medium (30% of nodes) | Costs money; risks customer churn |
| ISP-level SSH brute-force detection | Korea Telecom, Ethio Telecom | High (blocks propagation) | Technical complexity; no mandate |
| International cryptojacking treaty | UN, Interpol | Theoretical | Low priority; jurisdictional complexity |
| Mining pool KYC for compute source | HashVault, other pools | Medium (blocks monetization) | Technically impossible with Monero |
โ If SSH Password Auth Were Disabled by Default Tomorrow, What Would Happen?
One configuration change. Every major Linux distribution. Default: key-only authentication.
The mdrfckr botnet would die within 6-12 months as existing infections are gradually cleaned and no new ones succeed. The attack vector (password brute-force) simply ceases to exist. But: this breaks countless automated workflows, provisioning scripts, legacy systems, and lazy administrators. The convenience cost is borne by millions of legitimate users. The security benefit accrues to millions of unknowing victims. The people who would need to accept the inconvenience are not the people being harmed. This is why it won't happen voluntarily.
โ What Would It Cost to Secure Every Ethio Telecom Server?
SSH key deployment, automated patching, basic monitoring for 16 compromised IPs (probably representing 100-1000 total servers).
Estimated: $50,000-200,000 one-time. Ongoing: $20,000-50,000/year for a single security engineer. Ethio Telecom's annual revenue: ~$2 billion. The cost is 0.001-0.01% of revenue. The reason it doesn't happen: not budget constraints but priority constraints. Security competes with network expansion, subscriber growth, dividend payments to the state, and executive compensation. In that competition, securing servers against cryptojacking loses every time โ because nobody is counting the loss.
Chapter 10: The Victim Who Speaks โ A Composite Case Study
Based on Kaspersky's March 2025 incident response in Brazil, CyberCloud/UPB's documentation, and our own telemetry, we reconstruct a typical victim experience:
๐ฅ "Hospital X" โ A Composite Victim (Based on Real IR Data)
Month 1: A hospital's patient records server in a developing country has SSH enabled with a weak root password. The mdrfckr botnet finds it. Within seconds: key injected, password changed, miner deployed. Nobody notices โ the server "still works."
Months 2-6: Patient record queries take 2-3x longer. Nurses complain about slow systems. IT (one person, part-time) blames "old hardware" and requests budget for replacement. Budget denied. The electricity bill increases by $25/month โ within noise.
Month 7: The server's IP appears on blacklists. Email from the hospital starts bouncing. Referring physicians can't receive test results. Patient care is affected. IT discovers "something wrong" but lacks forensic skills. They reboot. The miner restarts (persistence mechanism). They format and reinstall. They use the same password. Re-infected within 48 hours.
Month 12: Still infected. Still mining. Still slow. The hospital has adapted around the degraded system. "That's just how it is." The mdrfckr operators have extracted ~$180 in electricity. They have caused ~$15,000 in degraded service, staff frustration, and delayed patient care.
โ Is Patient Care Being Affected Right Now by This Botnet?
We cannot prove specific patient harm. We can prove: hospital-range IPs are compromised, server performance is degraded by mining, health systems in affected countries rely on these servers.
It would be surprising if patient care were not affected somewhere. 10,000+ compromised servers across 84 countries, many in healthcare-dense IP ranges, all running at 100% CPU. Some percentage are hospital systems. The latency added to patient record queries is small (seconds) but compounds: across hundreds of daily lookups, across understaffed facilities, across conditions where minutes matter. We cannot count these victims because they don't know they're victims. The patient whose diagnosis was delayed because the server was mining Monero will never know.
๐ Reading Between the Lines
- Kaspersky's Brazil IR case involved a real enterprise. The compromise was discovered only because a proactive GERT engagement happened to look at that network. For every one that's discovered, thousands are not. Discovery is the exception; persistent compromise is the norm.
- The composite victim is deliberately set in healthcare because it makes the abstraction concrete: "stolen CPU cycles" becomes "delayed patient care." But the same logic applies to: agricultural extension services, banking systems, educational platforms, government services. Every CPU cycle stolen is a service degraded for a human being.
- When we say "$15-30/month in electricity per victim" it sounds small. When we say "a hospital's patient records system is mining cryptocurrency for Romanian criminals instead of serving patients" it sounds like a scandal. They are the same fact described at different levels of abstraction.
Sources: Kaspersky GERT Brazil IR (Mar 2025) ยท CyberCloud UPB Romania ยท LSN Honeypot Telemetry
๐ Series Navigation โ The SSH Parasite
TI-2026-025A โ The Anatomy ยท TI-2026-025B โ The Infrastructure ยท TI-2026-025C โ The Operator ยท โธ TI-2026-025D โ The Victims (this page) ยท TI-2026-025E โ The Economics ยท TI-2026-025F โ The Evolution
Related: TI-2026-024A โ Offshore Bulletproof Hosting ยท TI-2026-026K โ Predecessor Network