ABUSE.MOM
THREAT REPORT

IP Threat Report
101.47.55.66

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-15 22:16:30
First seen: 2026-09-15 05:56:08
Last seen: 2026-09-15 21:24:11
95

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 95/100. Total malicious requests observed: 45.

DANGER_PATHRATIO_404REDIRECT_PROBEREFERER
01

Geolocation & Classification

IP Address
101.47.55.66
Type
Unknown
Country
🇤🇤 ??
City
Unknown
ISP
Unknown
Organization
Unknown
Autonomous System
Unknown
Hit Count
45
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Foreign refererReferer from unrelated external domain+10
Probe 302→404Behavioral anomaly detected by automated analysis+20
Σ = 95
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

2026-09-15 05:56:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Danger strong hits: 2 (+50), Foreign referer (+10)
2026-09-15 21:24:11
Last malicious request observed
Total score reached: 95/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 101.47.55.66 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 101.47.55.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Directory Scan Defense

IP 101.47.55.66 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 101.47.55.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

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
zen.spamhaus.org
✓ Clean
cbl.abuseat.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
dnsbl.dronebl.org
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

101.47.55.66 has been assigned a threat score of 95/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

101.47.55.66 is registered in an unknown location. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 1-day observation window, we recorded 45 hostile requests from this IP — roughly 45 per day on average. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. At 95/100, this is an extremely high-risk address. All traffic should be considered hostile.

11

Related Threats

🇤🇤 Top threats from ??

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12

Security Intelligence

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 Web Application Firewall Strategies

WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.

🔍 Check Any IP Address

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