ABUSE.MOM
THREAT REPORT

IP Threat Report
216.73.163.105

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-07 00:14:15
First seen: 2026-06-07 11:26:41
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: 341.

BOT_UARATIO_404REFERER
01

Geolocation & Classification

IP Address
216.73.163.105
Type
Unknown
Country
🇺🇸 United States
City
San Francisco
ISP
Bandito Networks
Organization
Bandito Networks
Autonomous System
Unknown
Hit Count
341
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

2026-06-07 11:26:41
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 216.73.163.105 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

🔎 Directory Scan Defense

IP 216.73.163.105 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

🤖 User-Agent Anomaly Defense

IP 216.73.163.105 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
psbl.surriel.com
✓ Clean
bl.blocklist.de
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ Clean
spam.dnsbl.sorbs.net

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

10

Threat Analysis

216.73.163.105 has been assigned a threat score of 100/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

IP address 216.73.163.105 has been traced to San Francisco, United States, operating on the network of Bandito Networks. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 27-day observation window, we recorded 341 hostile requests from this IP — roughly 12.6 per day on average. The dual attack vectors of Path Enumeration combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. United States currently accounts for 151 blocked IPs in our database, making it a significant source of malicious traffic. 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)103.215.74.213 (340)103.168.66.237 (340)34.187.158.4 (340)34.186.187.208 (340)View all →
12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 Network Telescope and Darknet Monitoring

Network telescopes monitor large blocks of unused IP address space. Since no legitimate traffic should reach these addresses, all observed traffic represents scanning, backscatter from spoofed attacks, or misconfiguration — providing pure signal for threat analysis.

🔍 Check Any IP Address

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