ABUSE.MOM
THREAT REPORT

IP Threat Report
154.93.45.21

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-30 09:47:43
First seen: 2026-07-07 08:03:42
Last seen: 2026-07-12 00:10:17
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 233.

BOT_UAUA_CHANGED
01

Geolocation & Classification

IP Address
154.93.45.21
Type
Residential
Country
🇪🇬 EG
City
Cairo
ISP
Kaopu Cloud HK Limited
Organization
Kaopu Cloud HK Limited
Autonomous System
AS138915 Kaopu Cloud HK Limited
Hit Count
233
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: pythonKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 65
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-07-07 08:03:42
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: python (+40), UA changed (+25)
2026-07-12 00:10:17
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Kaopu Cloud HK Limited
AS138915 · 🇪🇬 EG
06

Recommendations

Actions taken & recommended

  • IP 154.93.45.21 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 Bot Detection

Address UA spoofing from 154.93.45.21: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
bl.blocklist.de
✓ Clean
dnsbl.dronebl.org
✓ Clean
psbl.surriel.com
✓ Clean
zen.spamhaus.org
✓ Clean
cbl.abuseat.org
✓ Clean
bl.spamcop.net

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

154.93.45.21 has been assigned a threat score of 65/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

IP address 154.93.45.21 has been traced to Cairo, EG, operating on the network of Kaopu Cloud HK Limited. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 233 malicious requests from this address across a 4-day span, reflecting a sustained attack cadence of ~58.3 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. Our records show 80 malicious IPs originating from EG, positioning it as a notable contributor to global threat activity. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

Related Threats

🇪🇬 Top threats from EG

45.130.203.74 (255)45.130.203.85 (255)156.201.33.105 (170)154.73.249.95 (130)154.73.250.75 (130)View all →

🏢 Same network: AS138915

View all →
12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 Behavioral Analysis vs Signature Detection

Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.

🔍 Check Any IP Address

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