ABUSE.MOM
THREAT REPORT

IP Threat Report
173.239.214.139

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 10:27:03
First seen: 2026-04-09 05:00:05
Last seen: 2026-05-30 10:02:09
255

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 255/100. Total malicious requests observed: 257.

BOT_UABURSTDANGER_PATHRATIO_404REFERERUA_CHANGEDUA_SUS
01

Geolocation & Classification

IP Address
173.239.214.139
Type
Residential
Country
🇺🇸 United States
City
Edison
ISP
LogicWeb Inc
Organization
Unknown
Autonomous System
AS62240 Clouvider
Hit Count
257
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Burst: 22 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 23 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 78 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 79 req / 10sAbnormally fast request rate — automated scanning+35
Burst: 82 req / 10sAbnormally fast request rate — automated scanning+35
Danger medium hits: 1Medium-risk: admin panels, config files+10
Danger medium hits: 50Medium-risk: admin panels, config files+60
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger strong hits: 127High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 57High-risk paths: shells, RCE vectors, exploits+100
Foreign referer seenReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
UA changed for same IPMultiple User-Agents — bot rotation technique+25
UA suspiciousBehavioral anomaly detected by automated analysis+15
UA suspicious (short/empty)Behavioral anomaly detected by automated analysis+15
Σ = 690
03

Observed Activity

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

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

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

04

Timeline

2026-04-09 05:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), 404 ratio >= 60% (+25), Burst: 22 req / 2s (+35)
2026-05-30 10:02:09
Last malicious request observed
Total score reached: 255/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

LogicWeb Inc
AS62240 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 173.239.214.139 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 173.239.214.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Path Enumeration Protection

Block scanning from 173.239.214.139: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 173.239.214.139.

🤖 User-Agent Anomaly Defense

IP 173.239.214.139 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 173.239.214.0/24

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
cbl.abuseat.org
✓ Clean
psbl.surriel.com
✓ Clean
zen.spamhaus.org
✓ Clean
b.barracudacentral.org

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

10

Threat Analysis

173.239.214.139 has been assigned a threat score of 255/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

Path EnumerationRequest FloodingUser-Agent Anomaly

📊 Threat Analysis

Our monitoring infrastructure has identified 173.239.214.139, geolocated to Edison, United States, operating on the network of LogicWeb Inc, as a source of suspicious network activity. Our sensors captured 257 malicious requests from this address across a 51-day span, reflecting a sustained attack cadence of ~5 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. With 3 different attack patterns detected, this IP exhibits behavior characteristic of advanced automated scanning frameworks. United States currently accounts for 212 blocked IPs in our database, making it a significant source of malicious traffic. A score of 255/100 places this address in the top tier of severity. Block and investigate any historical connections.

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

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🏢 Same network: AS62240

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12

Security Intelligence

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

💡 Emerging Threats from AI-Powered Attacks

Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.

🔍 Check Any IP Address

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