ABUSE.MOM
THREAT REPORT

IP Threat Report
136.144.33.169

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 04:26:21
First seen: 2026-05-24 03:22:50
Last seen: 2026-05-24 10:08:51
85

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 85/100. Total malicious requests observed: 16.

DANGER_PATHUA_CHANGED
01

Geolocation & Classification

IP Address
136.144.33.169
Type
VPN
Country
🇺🇸 United States
City
Los Angeles
ISP
F.N.S. HOLDINGS LIMITED
Organization
VPN Consumer Los Angeles, United States
Autonomous System
AS206092 F.N.S. HOLDINGS LIMITED
Hit Count
16
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 1Medium-risk: admin panels, config files+10
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 85
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

2026-05-24 03:22:50
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 1 (+10), Danger strong hits: 2 (+50), UA changed (+25)
2026-05-24 10:08:51
Last malicious request observed
Total score reached: 85/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

F.N.S. HOLDINGS LIMITED
AS206092 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 136.144.33.169 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 136.144.33.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 Bot Detection

Address UA spoofing from 136.144.33.169: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 136.144.33.0/24

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
b.barracudacentral.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
cbl.abuseat.org
✓ Clean
bl.blocklist.de
✓ Clean
bl.spamcop.net
✓ Clean
dnsbl.dronebl.org
✓ Clean
zen.spamhaus.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

136.144.33.169 has been assigned a threat score of 85/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 136.144.33.169 to malicious activity originating from Los Angeles, United States, operating on the network of F.N.S. HOLDINGS LIMITED. The address has been under observation since its initial detection. During its 1-day observation window, we recorded 16 hostile requests from this IP — roughly 16 per day on average. Classified as a VPN or proxy server, this IP serves as an anonymization layer. While VPNs have legitimate uses, this address has been observed routing clearly malicious traffic. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. Our records show 151 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. The score of 85/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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

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🏢 Same network: AS206092

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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.

💡 Emerging Threats from AI-Powered Attacks

Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.

🔍 Check Any IP Address

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