ABUSE.MOM
THREAT REPORT

IP Threat Report
84.70.46.231

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 06:51:14
First seen: 2026-03-13 03:57:42
Last seen: 2026-03-13 03:57:42
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
84.70.46.231
Type
Residential
Country
🇬🇧 United Kingdom
City
Manchester
ISP
Vodafone Limited
Organization
Vodafone DYN IP
Autonomous System
AS5378 Vodafone 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

2026-03-13 03:57:42
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Form spam: no_js_check
2026-03-13 03:57:42
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

Vodafone Limited
AS5378 · 🇬🇧 United Kingdom
06

Recommendations

Actions taken & recommended

  • IP 84.70.46.231 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • 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 84.70.46.231 is flooding forms with spam. Implement time-based tokens and block IPs submitting more than 5 forms per hour.

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

84.70.46.231 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

Network traffic from 84.70.46.231, located in Manchester, United Kingdom, operating on the network of Vodafone Limited, has been classified as malicious by our automated threat scoring engine. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. Our records show 109 malicious IPs originating from United Kingdom, positioning it as a significant contributor to global threat activity. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.

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

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🏢 Same network: AS5378

81.79.24.153 (103)90.253.106.23 (103)84.70.153.236 (103)81.79.13.81 (103)81.77.36.114 (83)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.

💡 Submarine Cable and Internet Exchange Points

Internet traffic routing through a limited number of submarine cables and exchange points creates natural chokepoints. Understanding these routing patterns helps explain geographic clustering of certain attack types and latency-based scanning behaviors.

🔍 Check Any IP Address

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