ABUSE.MOM
THREAT REPORT

IP Threat Report
45.66.35.29

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 07:57:36
First seen: 2026-05-27 03:19:06
Last seen: 2026-05-27 06:57:17
73

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 73/100. Total malicious requests observed: 2.

BOT_UAMETHODRATIO_404REFERER
01

Geolocation & Classification

IP Address
45.66.35.29
Type
Unknown
Country
🇤🇤 ??
City
Unknown
ISP
Unknown
Organization
Unknown
Autonomous System
Unknown
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Foreign refererReferer from unrelated external domain+10
POST seenBehavioral anomaly detected by automated analysis+8
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
Σ = 73
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

2026-05-27 03:19:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Foreign referer (+10), POST seen (+8)
2026-05-27 06:57:17
Last malicious request observed
Total score reached: 73/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 45.66.35.29 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 45.66.35.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Directory Scan Defense

IP 45.66.35.29 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🤖 Bot Detection

Address UA spoofing from 45.66.35.29: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 45.66.35.0/24

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
spam.dnsbl.sorbs.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
b.barracudacentral.org
✓ Clean
dnsbl.dronebl.org

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

10

Threat Analysis

45.66.35.29 has been assigned a threat score of 73/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

IP address 45.66.35.29 has been traced to an unknown location. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 1-day observation window, we recorded 2 hostile requests from this IP — roughly 2 per day on average. Two attack patterns were identified (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. A threat score of 73/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

11

Related Threats

🇤🇤 Top threats from ??

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12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 Autonomous System Analysis

Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.

🔍 Check Any IP Address

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