ABUSE.MOM
THREAT REPORT

IP Threat Report
165.227.109.219

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 22:28:15
First seen: 2026-02-17 17:25:06
Last seen: 2026-02-17 17:26:16
100

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 100/100. Total malicious requests observed: 7.

DANGER_PATHIMPORT
01

Geolocation & Classification

IP Address
165.227.109.219
Type
Hosting
Country
🇺🇸 United States
City
Clifton
ISP
DigitalOcean, LLC
Organization
DigitalOcean, LLC
Autonomous System
AS14061 DigitalOcean, LLC
Hit Count
7
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 4High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 8High-risk paths: shells, RCE vectors, exploits+100
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
Σ = 250
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

2026-02-17 17:25:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 4 (+100), Danger strong hits: 2 (+50), Danger strong hits: 8 (+100)
2026-02-17 17:26:16
Last malicious request observed
Total score reached: 100/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

DigitalOcean, LLC
AS14061 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 165.227.109.219 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

⚙️ General Security

Add 165.227.109.219 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

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

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

📊 Threat Analysis

Network traffic from 165.227.109.219, located in Clifton, United States, operating on the network of DigitalOcean, LLC, has been classified as malicious by our automated threat scoring engine. During its 1-day observation window, we recorded 7 hostile requests from this IP — roughly 7 per day on average. The IP is classified as hosting/datacenter infrastructure, commonly associated with rented servers used for automated attack campaigns, botnet command-and-control, or vulnerability scanning at scale. United States currently accounts for 128 blocked IPs in our database, making it a significant source of malicious traffic. With a threat score of 100/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.

11

Related Threats

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🏢 Same network: AS14061

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12

Security Intelligence

💡 Server-Side Request Forgery (SSRF)

SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

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