ABUSE.MOM
THREAT REPORT

IP Threat Report
165.154.162.73

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-13 02:37:51
First seen: 2026-09-04 04:39:34
Last seen: 2026-09-06 01:03:09
95

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 95/100. Total malicious requests observed: 78.

DANGER_PATHREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
165.154.162.73
Type
Hosting
Country
🇺🇸 United States
City
Los Angeles
ISP
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
Organization
Ucloud Information Technology
Autonomous System
AS135377 UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
Hit Count
78
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 6Medium-risk: admin panels, config files+60
Foreign refererReferer from unrelated external domain+10
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 95
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

2026-09-04 04:39:34
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 6 (+60), Foreign referer (+10), UA changed (+25)
2026-09-06 01:03:09
Last malicious request observed
Total score reached: 95/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
AS135377 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 165.154.162.73 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

🤖 Bot Detection

Address UA spoofing from 165.154.162.73: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

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

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

10

Threat Analysis

165.154.162.73 has been assigned a threat score of 95/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Our monitoring infrastructure has identified 165.154.162.73, geolocated to Los Angeles, United States, operating on the network of UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 78 flagged requests at a rate of ~78/day. 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. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. With a threat score of 95/100, 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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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.

💡 Insider Threat Indicators

Insider threats — whether malicious or negligent — account for a significant percentage of data breaches. Behavioral analytics detecting unusual access patterns, data downloads, and privilege escalation help identify insider risks before damage occurs.

🔍 Check Any IP Address

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