ABUSE.MOM
THREAT REPORT

IP Threat Report
216.73.163.95

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-28 20:56:05
First seen: 2026-05-28 19:00:16
Last seen: 2026-05-28 20:45:44
100

⛔ Verdict: BLOCK

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

DANGER_PATHRATIO_404UA_CHANGED
01

Geolocation & Classification

IP Address
216.73.163.95
Type
Unknown
Country
🇤🇤 ??
City
Unknown
ISP
Unknown
Organization
Unknown
Autonomous System
Unknown
Hit Count
3
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
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

2026-05-28 19:00:16
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)
2026-05-28 20:45:44
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 216.73.163.95 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 216.73.163.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Path Enumeration Protection

Block scanning from 216.73.163.95: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🤖 User-Agent Anomaly Defense

IP 216.73.163.95 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

07

Neighbors in 216.73.163.0/24

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
dnsbl.dronebl.org
✓ Clean
bl.blocklist.de
✓ Clean
bl.spamcop.net
✓ Clean
cbl.abuseat.org
✓ Clean
zen.spamhaus.org

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

10

Threat Analysis

216.73.163.95 has been assigned a threat score of 100/100 (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 EnumerationUser-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 216.73.163.95 to malicious activity originating from an unknown location. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 3 flagged requests at a rate of ~3/day. Two attack patterns were identified (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. A score of 100/100 places this address in the top tier of severity. Block and investigate any historical connections.

11

Related Threats

🇤🇤 Top threats from ??

View all →
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.

💡 Insider Threat Indicators

Insider threats — whether malicious or negligent — account for a significant percentage of data breaches. Behavioral analytics detecting unusual access patterns, data downloads, and privilege escalation help identify insider risks before damage occurs.

🔍 Check Any IP Address

Share this report: