ABUSE.MOM
THREAT REPORT

IP Threat Report
173.239.213.30

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-13 02:39:29
First seen: 2026-06-14 15:57:56
Last seen: 2026-08-09 04:14:15
100

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 100/100. Total malicious requests observed: 439.

DANGER_PATHRATIO_404UA_CHANGED
01

Geolocation & Classification

IP Address
173.239.213.30
Type
Unknown
Country
🇺🇸 United States
City
Atlanta
ISP
Clouvider Limited
Organization
Clouvider Limited
Autonomous System
Unknown
Hit Count
439
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Danger medium hits: 1Medium-risk: admin panels, config files+10
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Malicious ActivityBehavioral anomaly detected by automated analysis+0
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 100
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

2026-06-14 15:57:56
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Danger medium hits: 1 (+10), Danger strong hits: 2 (+50)
2026-08-09 04:14:15
Last malicious request observed
Total score reached: 100/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 173.239.213.30 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 173.239.213.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Directory Scan Defense

IP 173.239.213.30 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🤖 User-Agent Anomaly Defense

IP 173.239.213.30 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 173.239.213.0/24

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

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

10

Threat Analysis

173.239.213.30 has been assigned a threat score of 100/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

IP address 173.239.213.30 has been traced to Atlanta, United States, operating on the network of Clouvider Limited. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 55 days, this IP generated 439 malicious requests, averaging approximately 8 requests per day. Two attack patterns were identified (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 151 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. A score of 100/100 places this address in the top tier of severity. Block and investigate any historical connections.

11

Related Threats

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12

Security Intelligence

💡 Server-Side Request Forgery (SSRF)

SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.

💡 Honeypot Network Intelligence

Honeypots are decoy systems designed to attract and study attackers. Networks of honeypots provide early warning of new attack campaigns, reveal attacker tools and techniques, and generate high-confidence threat intelligence with minimal false positives.

🔍 Check Any IP Address

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