ABUSE.MOM
THREAT REPORT

IP Threat Report
173.239.240.205

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-28 04:45:24
First seen: 2026-03-09 13:00:05
Last seen: 2026-04-28 04:00:07
90

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 90/100. Total malicious requests observed: 3.

UA_SUSDANGER_PATHRATIO_404
01

Geolocation & Classification

IP Address
173.239.240.205
Type
Residential
Country
🇺🇸 United States
City
Edison
ISP
LogicWeb Inc.
Organization
Unknown
Autonomous System
AS396356 Latitude.sh
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA suspicious (short/empty)Behavioral anomaly detected by automated analysis+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger medium hits: 1Medium-risk: admin panels, config files+10
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Σ = 90
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

2026-03-09 13:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA suspicious (short/empty) (+15), Danger strong hits: 2 (+50), Danger medium hits: 1 (+10)
2026-04-28 04:00:07
Last malicious request observed
Total score reached: 90/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

LogicWeb Inc.
AS396356 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 173.239.240.205 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 173.239.240.0/24
  • 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 173.239.240.205: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Directory Scan Defense

IP 173.239.240.205 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 173.239.240.0/24

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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

173.239.240.205 has been assigned a threat score of 90/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

User-Agent AnomalyPath Enumeration

📊 Threat Analysis

The address 173.239.240.205 originates from Edison, United States, operating on the network of LogicWeb Inc.. It was identified through automated analysis of incoming network traffic across monitored endpoints. Over a period of 49 days, this IP generated 3 malicious requests, averaging approximately 0.1 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The dual attack vectors of User-Agent Anomaly combined with Path Enumeration indicate a coordinated assault rather than opportunistic scanning. United States currently accounts for 235 blocked IPs in our database, making it a significant source of malicious traffic. At 90/100, this is an extremely high-risk address. All traffic should be considered hostile.

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

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🏢 Same network: AS396356

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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.

💡 Dark Web Intelligence Gathering

Monitoring dark web forums and marketplaces provides advance warning of planned attacks, leaked credentials, and compromised data. This intelligence feeds into proactive defense measures before attacks reach their targets.

🔍 Check Any IP Address

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