ABUSE.MOM
THREAT REPORT

IP Threat Report
175.30.48.126

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-29 11:44:31
First seen: 2026-06-23 04:15:37
Last seen: 2026-06-27 20:29:10
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 204.

01

Geolocation & Classification

IP Address
175.30.48.126
Type
Residential
Country
🇨🇳 China
City
Jilin
ISP
Chinanet
Organization
Chinanet JL
Autonomous System
AS4134 CHINANET BACKBONE
Hit Count
204
02

Detection Signatures

SignatureDescriptionPointsSeverity
DDoS / FloodBehavioral anomaly detected by automated analysis+0
Σ = 0
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

2026-06-23 04:15:37
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
DDoS / Flood
2026-06-27 20:29:10
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Chinanet
AS4134 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 175.30.48.126 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 175.30.48.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

⚙️ Defensive Recommendations

Block 175.30.48.126 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.

07

Neighbors in 175.30.48.0/24

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

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

10

Threat Analysis

175.30.48.126 has been assigned a threat score of 70/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

📊 Threat Analysis

175.30.48.126 is registered in Jilin, China, operating on the network of Chinanet. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. During its 4-day observation window, we recorded 204 hostile requests from this IP — roughly 51 per day on average. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. China currently accounts for 121 blocked IPs in our database, making it a significant source of malicious traffic. The score of 70/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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 China

180.184.55.222 (340)47.93.233.71 (273)135.136.42.150 (255)135.136.42.24 (255)135.136.42.145 (255)View all →

🏢 Same network: AS4134

114.96.70.4 (195)View all →
12

Security Intelligence

💡 CAPTCHA and Bot Detection

CAPTCHAs remain a primary bot defense but face increasing bypass rates from AI-powered solvers. Modern alternatives include invisible behavioral analysis, proof-of-work challenges, and device fingerprinting that detect bots without impacting user experience.

💡 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.

🔍 Check Any IP Address

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