ABUSE.MOM
THREAT REPORT

IP Threat Report
153.35.209.104

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 05:07:04
First seen: 2026-03-06 08:00:05
Last seen: 2026-03-06 08:00:05
90

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 90/100. Total malicious requests observed: 1.

DANGER_PATHBURSTREFERER
01

Geolocation & Classification

IP Address
153.35.209.104
Type
Residential
Country
🇨🇳 China
City
Suzhou
ISP
China Unicom Jiangsu Province Network
Organization
Unknown
Autonomous System
AS4837 CHINA UNICOM China169 Backbone
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 1Medium-risk: admin panels, config files+10
Burst: 30 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 48 req / 10sAbnormally fast request rate — automated scanning+35
Foreign referer seenReferer from unrelated external domain+10
Σ = 90
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

2026-03-06 08:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 1 (+10), Burst: 30 req / 2s (+35), Burst: 48 req / 10s (+35)
2026-03-06 08:00:05
Last malicious request observed
Total score reached: 90/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

China Unicom Jiangsu Province Network
AS4837 · 🇨🇳 China
06

Recommendations

Actions taken & recommended

  • IP 153.35.209.104 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 153.35.209.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 153.35.209.104.

07

Neighbors in 153.35.209.0/24

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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

153.35.209.104 has been assigned a threat score of 90/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

153.35.209.104 is registered in Suzhou, China, operating on the network of China Unicom Jiangsu Province Network. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 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. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. Our records show 193 malicious IPs originating from China, positioning it as a significant contributor to global threat activity. A score of 90/100 places this address in the top tier of severity. Block and investigate any historical connections.

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

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🏢 Same network: AS4837

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12

Security Intelligence

💡 WordPress-Specific Attack Vectors

WordPress sites face constant automated attacks targeting xmlrpc.php for brute force amplification, wp-login.php for credential theft, and vulnerable plugins for remote code execution. Over 90% of CMS-based attacks specifically target WordPress installations.

💡 Supply Chain Security Challenges

Attacks targeting software supply chains compromise trusted update mechanisms to distribute malware at scale. Dependency confusion, typosquatting in package registries, and compromised build pipelines threaten even organizations with strong direct security postures.

🔍 Check Any IP Address

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