ABUSE.MOM
THREAT REPORT

IP Threat Report
216.73.162.69

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:39:13
First seen: 2026-02-23 06:36:38
Last seen: 2026-02-23 06:36:38
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

FORM_SPAM
01

Geolocation & Classification

IP Address
216.73.162.69
Type
VPN/Proxy
Country
🇨🇦 Canada
City
Toronto
ISP
Bandito Networks
Organization
VPN Consumer Network Services
Autonomous System
AS206092 F.N.S. HOLDINGS LIMITED
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Form spam: no_js_checkSpam/malware keywords in request content+0
Σ = 0
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

2026-02-23 06:36:38
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-02-23 06:36:38
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Bandito Networks
AS206092 · 🇨🇦 Canada
06

Recommendations

Actions taken & recommended

  • IP 216.73.162.69 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 216.73.162.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

📧 Content Abuse Prevention

IP 216.73.162.69 is flooding forms with spam. Implement time-based tokens and block IPs submitting more than 5 forms per hour.

07

Neighbors in 216.73.162.0/24

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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

216.73.162.69 has been assigned a threat score of 70/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

📊 Threat Analysis

216.73.162.69 is registered in Toronto, Canada, operating on the network of Bandito Networks. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. The address operates as a VPN/proxy exit node. Attackers route traffic through anonymizing services to obscure their real location and evade IP-based security controls. Canada currently accounts for 152 blocked IPs in our database, making it a significant source of malicious traffic. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

This IP is associated with a VPN or proxy service. Attackers frequently route their traffic through anonymizing services to obscure their true location. This makes attribution more challenging but the malicious behavior patterns remain detectable.

11

Related Threats

🇨🇦 Top threats from Canada

20.151.111.128 (308)45.91.23.64 (305)147.15.149.40 (300)148.116.72.171 (300)89.251.0.24 (295)View all →

🏢 Same network: AS206092

103.163.220.216 (340)85.203.21.101 (320)85.203.21.157 (310)85.203.21.172 (305)91.217.249.222 (305)View all →
12

Security Intelligence

💡 SQL Injection Campaigns

SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.

💡 Behavioral Analysis vs Signature Detection

Signature-based detection matches known attack patterns but misses novel threats. Behavioral analysis identifies anomalies in request patterns, timing, and volume, catching zero-day attacks that signatures cannot recognize.

🔍 Check Any IP Address

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