ABUSE.MOM
THREAT REPORT

IP Threat Report
157.228.134.151

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-15 19:49:33
First seen: 2026-08-20 15:28:19
Last seen: 2026-08-23 02:01:35
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 163.

BOT_UAUA_CHANGED
01

Geolocation & Classification

IP Address
157.228.134.151
Type
Residential
Country
🇦🇪 AE
City
Abu Dhabi
ISP
IP MARKET - FZCO
Organization
IP MARKET - FZCO
Autonomous System
Unknown
Hit Count
163
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: curlKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+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

2026-08-20 15:28:19
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: curl (+40), UA changed (+25)
2026-08-23 02:01:35
Last malicious request observed
Total score reached: 65/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 157.228.134.151 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 157.228.134.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 Bot Detection

Address UA spoofing from 157.228.134.151: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 157.228.134.0/24

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

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

10

Threat Analysis

157.228.134.151 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

The address 157.228.134.151 originates from Abu Dhabi, AE, operating on the network of IP MARKET - FZCO. It was identified through automated analysis of incoming network traffic across monitored endpoints. Our sensors captured 163 malicious requests from this address across a 2-day span, reflecting a sustained attack cadence of ~81.5 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.

11

Related Threats

🇦🇪 Top threats from AE

157.228.134.157 (65)157.228.134.139 (65)View all →
12

Security Intelligence

💡 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.

💡 Watering Hole Attack Strategy

Watering hole attacks compromise websites frequently visited by target organizations. Rather than attacking targets directly, adversaries infect trusted resources, exploiting the inherent trust users place in regularly visited sites.

🔍 Check Any IP Address

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