ABUSE.MOM
THREAT REPORT

IP Threat Report
149.129.252.106

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-26 11:39:48
First seen: 2026-07-04 22:39:09
Last seen: 2026-07-05 03:49:15
75

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 75/100. Total malicious requests observed: 11.

BOT_UAREFERERUA_CHANGED
01

Geolocation & Classification

IP Address
149.129.252.106
Type
Hosting
Country
🇮🇩 Indonesia
City
Jakarta
ISP
Alibaba.com Singapore E-Commerce Private Limited
Organization
Unknown
Autonomous System
AS45102 Alibaba (US) Technology Co., Ltd.
Hit Count
11
02

Detection Signatures

SignatureDescriptionPointsSeverity
Foreign refererReferer from unrelated external domain+10
UA bot: Go-http-clientKnown bot/crawler User-Agent detected+40
UA changedMultiple User-Agents — bot rotation technique+25
Σ = 75
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

2026-07-04 22:39:09
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Foreign referer (+10), UA bot: Go-http-client (+40), UA changed (+25)
2026-07-05 03:49:15
Last malicious request observed
Total score reached: 75/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Alibaba.com Singapore E-Commerce Private Limited
AS45102 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 149.129.252.106 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 149.129.252.106: 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
bl.spamcop.net
✓ Clean
zen.spamhaus.org
✓ Clean
bl.blocklist.de
✓ Clean
cbl.abuseat.org
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl.dronebl.org

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

10

Threat Analysis

149.129.252.106 has been assigned a threat score of 75/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Network traffic from 149.129.252.106, located in Jakarta, Indonesia, operating on the network of Alibaba.com Singapore E-Commerce Private Limited, has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 11 flagged requests at a rate of ~11/day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. A threat score of 75/100 places this IP in the high-risk category. Blocking at the firewall level is 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

🇮🇩 Top threats from Indonesia

8.215.21.200 (85)View all →

🏢 Same network: AS45102

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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.

💡 Submarine Cable and Internet Exchange Points

Internet traffic routing through a limited number of submarine cables and exchange points creates natural chokepoints. Understanding these routing patterns helps explain geographic clustering of certain attack types and latency-based scanning behaviors.

🔍 Check Any IP Address

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