ABUSE.MOM
THREAT REPORT

IP Threat Report
45.80.105.86

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 09:02:03
First seen: 2026-02-19 04:32:03
Last seen: 2026-02-19 04:32:03
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
45.80.105.86
Type
Residential
Country
🇬🇧 United Kingdom
City
London
ISP
Alex Largman
Organization
Apex Data Solutions LLC
Autonomous System
AS59651 AS QualityNetwork
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

2026-02-19 04:32:03
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-02-19 04:32:03
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

Alex Largman
AS59651 · 🇬🇧 United Kingdom
06

Recommendations

Actions taken & recommended

  • IP 45.80.105.86 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 45.80.105.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

📧 Spam Protection

Enable CAPTCHA on all public forms. Add honeypot fields. Rate-limit submissions to 3 per minute per IP. Deploy Akismet or CleanTalk.

07

Neighbors in 45.80.105.0/24

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
Spamhaus ZEN

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

10

Threat Analysis

45.80.105.86 has been assigned a threat score of 70/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

📊 Threat Analysis

IP address 45.80.105.86 has been traced to London, United Kingdom, operating on the network of Alex Largman. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Our records show 112 malicious IPs originating from United Kingdom, positioning it as a significant contributor to global threat activity. The score of 70/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

Related Threats

🇬🇧 Top threats from United Kingdom

104.28.208.60 (340)104.28.240.60 (340)91.230.225.3 (305)45.86.203.224 (305)45.86.203.35 (305)View all →

🏢 Same network: AS59651

5.181.169.192 (313)170.168.175.156 (313)170.168.96.250 (313)170.168.175.34 (313)122.8.95.61 (268)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.

💡 API Abuse and Enumeration

Modern attacks increasingly target APIs rather than traditional web interfaces. Attackers enumerate endpoints, test for broken authentication, and exploit excessive data exposure. API attacks are harder to detect as they mimic legitimate programmatic access patterns.

🔍 Check Any IP Address

Share this report: