ABUSE.MOM
THREAT REPORT

IP Threat Report
147.182.177.135

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 00:45:12
First seen: 2026-04-12 22:00:08
Last seen: 2026-04-17 16:00:05
100

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 100/100. Total malicious requests observed: 55.

DANGER_PATH
01

Geolocation & Classification

IP Address
147.182.177.135
Type
Hosting
Country
🇺🇸 United States
City
North Bergen
ISP
DigitalOcean, LLC
Organization
DigitalOcean, LLC
Autonomous System
AS14061 DigitalOcean, LLC
Hit Count
55
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Danger strong hits: 4High-risk paths: shells, RCE vectors, exploits+100
Danger strong hits: 6High-risk paths: shells, RCE vectors, exploits+100
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

2026-04-12 22:00:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 2 (+50), Danger strong hits: 4 (+100), Danger strong hits: 6 (+100)
2026-04-17 16:00:05
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 147.182.177.135 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 147.182.177.135 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.

✓ Clean
dnsbl.sorbs.net
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
bl.spamcop.net
✓ Clean
zen.spamhaus.org
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

147.182.177.135 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

The address 147.182.177.135 originates from North Bergen, United States, operating on the network of DigitalOcean, LLC. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 55 malicious requests from this address across a 4-day span, reflecting a sustained attack cadence of ~13.8 requests per day. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. Our records show 128 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. 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

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

🔍 Check Any IP Address

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