ABUSE.MOM
THREAT REPORT

IP Threat Report
152.163.123.176

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 16:43:26
First seen: 2026-04-03 15:00:05
Last seen: 2026-04-03 15:00:05
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 1.

BOT_UADANGER_PATH
01

Geolocation & Classification

IP Address
152.163.123.176
Type
Hosting
Country
🇺🇸 United States
City
Miami
ISP
US broadband Internet
Organization
Unknown
Autonomous System
AS393886 Leaseweb USA, Inc.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: crawlerKnown bot/crawler User-Agent detected+40
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Σ = 65
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

2026-04-03 15:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: crawler (+40), Danger strong hits: 1 (+25)
2026-04-03 15:00:05
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

US broadband Internet
AS393886 · 🇺🇸 United States
06

Recommendations

Actions taken & recommended

  • IP 152.163.123.176 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 152.163.123.176: 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
ix.dnsbl.manitu.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.spamcop.net
✓ 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

152.163.123.176 has been assigned a threat score of 65/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Our monitoring infrastructure has identified 152.163.123.176, geolocated to Miami, United States, operating on the network of US broadband Internet, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. This address belongs to a datacenter or cloud hosting provider. Hosting IPs are frequently leveraged by threat actors who rent cheap VPS instances specifically for conducting attacks. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. United States currently accounts for 124 blocked IPs in our database, making it a significant source of malicious traffic. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

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: AS393886

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12

Security Intelligence

💡 TLS Fingerprinting (JA3/JA4)

TLS fingerprinting creates unique identifiers based on how clients negotiate encrypted connections. The JA3 and JA4 methods generate hashes from TLS ClientHello parameters, enabling identification of specific tools and malware regardless of IP address changes.

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

🔍 Check Any IP Address

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