ABUSE.MOM
THREAT REPORT

IP Threat Report
157.228.134.139

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-14 15:08:55
First seen: 2026-08-27 16:14:32
Last seen: 2026-09-13 01:15:45
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 246.

BOT_UAUA_CHANGED
01

Geolocation & Classification

IP Address
157.228.134.139
Type
Residential
Country
🇦🇪 AE
City
Abu Dhabi
ISP
IP MARKET - FZCO
Organization
IP MARKET - FZCO
Autonomous System
Unknown
Hit Count
246
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

2026-08-27 16:14:32
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: curl (+40), UA changed (+25)
2026-09-13 01:15:45
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 157.228.134.139 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

🤖 User-Agent Anomaly Defense

IP 157.228.134.139 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

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

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

10

Threat Analysis

157.228.134.139 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

Threat intelligence analysis has linked 157.228.134.139 to malicious activity originating from Abu Dhabi, AE, operating on the network of IP MARKET - FZCO. The address has been under observation since its initial detection. Over a period of 16 days, this IP generated 246 malicious requests, averaging approximately 15.4 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. Detected suspicious User-Agent anomalies including empty, forged, or rapidly rotating UA strings — characteristic of automated scanning tools. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.

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

157.228.134.151 (65)157.228.134.157 (65)View all →
12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 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.

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