Top 20 Countries Originating Denial of Service (DDoS), Harmful AI Training/Scraping Bots, and Spam Bot Security Alert Article by Dotifi Digital Security

Security Alert Article by Dotifi Digital Security Top 20 Countries Originating Denial of Service (DDoS), Harmful AI Training/Scraping Bots, and Spam Bots Plus Insights on Top IP/ASNs and Threat Trends (as of mid-2026 data)

Executive Summary

Distributed Denial of Service (DDoS) attacks, spam botnets, and harmful AI-driven scrapers (used for unauthorized data collection and model training) remain major threats to global digital infrastructure. Developing regions with rapid digitization, high numbers of vulnerable IoT devices, and lower cybersecurity maturity are increasingly prominent sources.

Key drivers include:

• Proliferation of compromised IoT/routers (e.g., Mirai variants like Aisuru/Kimwolf).
• AI-powered automation for scraping, evasion, and attack orchestration.
• Abuse of cloud/hosting providers for spam and C2 infrastructure.

Data is aggregated from reports by Cloudflare, QRator, A10 Networks, Spamhaus, Curator, and others (2024–2025 trends extending into 2026). Note: Exact “top 100 IPs” are dynamic and often anonymized in public reports; we highlight prominent ASNs/networks and patterns instead.

Top 20 Countries by Threat Origin (DDoS, Bots, Spam, Harmful AI Activity)

Rankings combine DDoS sources (L3/L4/L7), botnet infections, spam-emitting IPs, and AI scraper/crawler activity. Overlaps are common (e.g., Asia-dominant for bots).

1. Indonesia — Frequently #1 DDoS source (multiple quarters); massive growth in HTTP DDoS (+31,900% since 2021); high botnet activity.
2. Brazil — Rising #1 or #2 in DDoS (19%+ in Q3 2025); major botnet hosting (e.g., large Mirai variants).
3. Russia — Consistent top-3 DDoS/spam; strong botnet C&C presence.
4. China — Leads in bots/amplifiers, AI scrapers, malware distribution; high spam/phishing.
5. United States — Top hosting for weapons/bots, spam, and legitimate + malicious AI crawlers (e.g., training from US data centers).
6. Vietnam — Strong growth in DDoS/spam; significant bot contributions.
7. India — High bots/DDoS, AI bot activity in APAC; spam sources.
8. Thailand — Rising DDoS source.
9. Bangladesh — Sharp DDoS increases.
10. Argentina — Growing in botnets/DDoS.

11–20 (in approximate order of prominence): Pakistan, Morocco, Hong Kong, Ecuador, Ukraine, Germany, Netherlands, Singapore, Philippines, South Korea.

AI-Specific Notes: Harmful training/scraping bots (e.g., GPTBot, similar agents) often originate from US/EU data centers for major players, but aggressive/unauthorized ones show broader distribution with high activity from India, China, and user-driven regions like Australia/Brazil. Bad bot attacks heavily target the US (53%).

Prominent Networks / ASNs (Proxy for Top IPs)

Exact top 100 malicious IPs change rapidly and are best obtained via threat intel feeds (e.g., AbuseIPDB, Spamhaus). Common patterns involve:

• Hosting/Cloud Providers: Amazon (AS16509), Cloudflare (AS13335), DigitalOcean (AS14061), OVH (AS16276), Alibaba, Google, Microsoft — heavily abused for spam, C2, and bots.
• Telecom/Backbones: China Telecom/Unicom, India’s National Internet Backbone, Hetzner (Germany), etc. — sources of many infected devices.
• Spam/Botnet C&C leaders: DigitalOcean, Alibaba, Tencent, Contabo, etc.

High-abuse ASNs often show thousands of spammed/spambot hosts. Blocklists (e.g., AbuseIPDB aggregates) flag aggressive /24 subnets from these networks.

Key Threat Trends (2025–2026)

• Hyper-volumetric DDoS: Records like 5–30+ Tbps from botnets (Aisuru/Kimwolf); millions of IPs involved.
• AI Amplification: Attackers use AI for evasion, faster exploitation, and scraping at scale. Bad bots/AI crawlers surging (300%+ in some reports).
• Spam & Phishing: Sharp rises from Russia, Vietnam, Morocco, Pakistan; cloud abuse dominant.
• IoT Vulnerability: Mirai variants dominate; developing countries with poor patching are prime sources.
• Mitigation Challenges: Spoofing in L3/4; application-layer (L7) harder to filter. Many orgs underprepared for AI bots.

Recommendations from Dotifi Digital Security

• Monitoring & Blocking: Use real-time feeds (Spamhaus, Cloudflare Radar, AbuseIPDB). Rate-limit aggressive ASNs and AI user-agents (e.g., GPTBot).
• Defense Layers: DDoS scrubbing (BGP-based), WAF with behavioral AI detection, strict robots.txt + anti-scraping (but note evasion).
• Infrastructure Hygiene: Patch IoT/routers aggressively; monitor outbound traffic for bot indicators.
• AI-Specific: Classify and throttle training crawlers; implement data usage policies.
• Collaboration: Share IOCs; cloud providers must improve abuse handling.

Stay Vigilant: Threats evolve rapidly with AI. For custom threat intel or IP blocklist generation, contact Dotifi Digital Security. Data current as of available 2025–early 2026 reports; verify with live sources.

This is a synthesized security alert based on public threat intelligence. Dotifi Digital Security does not endorse any specific political or commercial entity.