ABUSE.MOM
THREAT REPORT

IP Threat Report
189.167.55.219

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 07:53:47
First seen: 2026-03-08 00:00:09
Last seen: 2026-03-08 00:00:09
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 2.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
189.167.55.219
Type
Residential
Country
🇲🇽 Mexico
City
Tlaxcala City
ISP
UNINET
Organization
Gestión de direccionamiento UniNet
Autonomous System
AS8151 UNINET
Hit Count
2
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 2Medium-risk: admin panels, config files+20
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 103
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

2026-03-08 00:00:09
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 3 (+75), Danger medium hits: 2 (+20), POST requests present (+8)
2026-03-08 00:00:09
Last malicious request observed
Total score reached: 103/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

UNINET
AS8151 · 🇲🇽 Mexico
06

Recommendations

Actions taken & recommended

  • IP 189.167.55.219 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

⚙️ Defensive Recommendations

Block 189.167.55.219 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.

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

189.167.55.219 has been assigned a threat score of 103/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.

📊 Threat Analysis

189.167.55.219 is registered in Tlaxcala City, Mexico, operating on the network of UNINET. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 2 malicious requests, averaging approximately 2 requests per day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. With 122 flagged addresses, Mexico represents a significant presence in our threat database. A score of 103/100 places this address in the top tier of severity. Block and investigate any historical connections.

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 Mexico

158.23.144.198 (280)68.155.145.150 (280)68.155.146.66 (280)34.51.104.11 (263)104.243.245.4 (255)View all →

🏢 Same network: AS8151

187.147.106.68 (130)187.147.111.162 (120)187.207.219.120 (105)189.179.17.192 (103)187.226.75.176 (103)View all →
12

Security Intelligence

💡 Web Application Firewall Strategies

WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.

💡 Brute Force Attack Mechanics

Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.

🔍 Check Any IP Address

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