ABUSE.MOM
THREAT REPORT

IP Threat Report
149.56.160.198

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 10:33:20
First seen: 2026-05-27 15:48:36
Last seen: 2026-05-30 10:20:49
105

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 105/100. Total malicious requests observed: 125.

BURSTREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
149.56.160.198
Type
Unknown
Country
🇤🇤 ??
City
Unknown
ISP
Unknown
Organization
Unknown
Autonomous System
Unknown
Hit Count
125
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 15/2sAbnormally fast request rate — automated scanning+35
Burst 18/10sAbnormally fast request rate — automated scanning+35
Foreign refererReferer from unrelated external domain+10
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 105
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-05-27 15:48:36
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 15/2s (+35), Burst 18/10s (+35), Foreign referer (+10)
2026-05-30 10:20:49
Last malicious request observed
Total score reached: 105/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
06

Recommendations

Actions taken & recommended

  • IP 149.56.160.198 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 149.56.160.0/24
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🌊 Traffic Flood Defense

IP 149.56.160.198 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

🤖 Bot Detection

Address UA spoofing from 149.56.160.198: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

07

Neighbors in 149.56.160.0/24

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

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

10

Threat Analysis

149.56.160.198 has been assigned a threat score of 105/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

Request FloodingUser-Agent Anomaly

📊 Threat Analysis

The address 149.56.160.198 originates from an unknown location. It was identified through automated analysis of incoming network traffic across monitored endpoints. The address has been active for 2 days in our monitoring system, producing 125 flagged requests at a rate of ~62.5/day. The dual attack vectors of Request Flooding combined with User-Agent Anomaly indicate a coordinated assault rather than opportunistic scanning. At 105/100, this is an extremely high-risk address. All traffic should be considered hostile.

11

Related Threats

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12

Security Intelligence

💡 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.

💡 Log Correlation and SIEM Integration

Correlating logs across web servers, firewalls, DNS, and authentication systems reveals attack patterns invisible in individual log sources. Modern SIEM platforms use statistical analysis to connect related events across time and systems.

🔍 Check Any IP Address

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