ABUSE.MOM
THREAT REPORT

IP Threat Report
216.73.163.84

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-26 02:09:30
First seen: 2026-05-30 18:59:08
Last seen: 2026-07-05 04:03:07
100

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 100/100. Total malicious requests observed: 408.

BOT_UARATIO_404REFERER
01

Geolocation & Classification

IP Address
216.73.163.84
Type
Unknown
Country
🇺🇸 United States
City
San Francisco
ISP
Bandito Networks
Organization
Bandito Networks
Autonomous System
Unknown
Hit Count
408
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Directory ScanBehavioral anomaly detected by automated analysis+0
Foreign refererReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
Σ = 65
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

2026-05-30 18:59:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Directory Scan, Foreign referer (+10)
2026-07-05 04:03:07
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 216.73.163.84 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 216.73.163.84: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🤖 Bot Detection

Address UA spoofing from 216.73.163.84: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

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

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

10

Threat Analysis

216.73.163.84 has been assigned a threat score of 100/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

The address 216.73.163.84 originates from San Francisco, United States, operating on the network of Bandito Networks. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 408 malicious requests from this address across a 35-day span, reflecting a sustained attack cadence of ~11.7 requests per day. Two attack patterns were identified (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 148 flagged addresses, United States represents a significant presence in our threat database. With a threat score of 100/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

11

Related Threats

🇺🇸 Top threats from United States

104.28.246.115 (350)104.28.214.122 (350)103.215.74.213 (340)103.168.66.237 (340)34.187.158.4 (340)View all →
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.

💡 Content Delivery Network Risks

CDNs can inadvertently mask the true origin of malicious traffic, making attribution difficult. Attackers abuse CDN services to proxy their attacks, leverage cached content for amplification, and exploit misconfigurations in CDN-to-origin connections.

🔍 Check Any IP Address

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