ABUSE.MOM
THREAT REPORT

IP Threat Report
167.103.42.249

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 07:23:42
First seen: 2026-03-19 20:00:05
Last seen: 2026-03-19 20:00:05
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
167.103.42.249
Type
Residential
Country
🇯🇵 Japan
City
Tokyo
ISP
ZSCALER, INC.
Organization
Zscaler Tyo4
Autonomous System
AS53813 ZSCALER, INC.
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: pythonKnown 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

2026-03-19 20:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: python (+40), Danger strong hits: 1 (+25)
2026-03-19 20:00:05
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

ZSCALER, INC.
AS53813 · 🇯🇵 Japan
06

Recommendations

Actions taken & recommended

  • IP 167.103.42.249 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 167.103.42.249: 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
zen.spamhaus.org
✓ Clean
dnsbl-1.uceprotect.net
✓ Clean
dnsbl.sorbs.net
✓ Clean
bl.spamcop.net
✓ Clean
truncate.gbudb.net
✓ Clean
b.barracudacentral.org
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

167.103.42.249 has been assigned a threat score of 65/100 (High). This score indicates high threat severity. The IP has shown clear patterns of malicious behavior that warrant immediate defensive measures.

The following attack categories were identified:

User-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 167.103.42.249 to malicious activity originating from Tokyo, Japan, operating on the network of ZSCALER, INC.. The address has been under observation since its initial detection. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. This is a residential IP address, suggesting a compromised home device such as a router, smart appliance, or infected workstation participating in a botnet. The IP exhibits User-Agent manipulation, switching between different browser identities or sending empty headers. With 104 flagged addresses, Japan represents a significant presence in our threat database. 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 Japan

103.163.220.216 (340)35.243.110.60 (288)20.89.56.154 (280)20.27.221.169 (280)20.210.188.132 (280)View all →

🏢 Same network: AS53813

136.226.254.203 (105)167.103.34.99 (105)167.103.115.101 (105)167.103.43.26 (65)101.2.203.22 (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.

💡 Cloud Infrastructure Abuse

Cloud platforms provide attackers with elastic, disposable infrastructure. Free tier accounts, stolen credit cards, and compromised cloud credentials enable rapid deployment of attack infrastructure that can scale to millions of requests and disappear within hours.

🔍 Check Any IP Address

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