ABUSE.MOM
THREAT REPORT

IP Threat Report
121.53.92.228

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-28 13:52:02
First seen: 2026-10-27 17:41:13
Last seen: 2026-10-28 13:51:13
85

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 85/100. Total malicious requests observed: 139.

DANGER_PATHRATIO_404REDIRECT_PROBE
01

Geolocation & Classification

IP Address
121.53.92.228
Type
Residential
Country
🇰🇷 South Korea
City
Sinjeong-dong
ISP
Dreamline CO.
Organization
cj.tv-cable
Autonomous System
AS18160 Kakao Corp
Hit Count
139
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Danger strong hits: 2High-risk paths: shells, RCE vectors, exploits+50
Probe 302→404Behavioral anomaly detected by automated analysis+20
Σ = 85
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

2026-10-27 17:41:13
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio 40-60% (+15), Danger strong hits: 2 (+50), Probe 302→404 (+20)
2026-10-28 13:51:13
Last malicious request observed
Total score reached: 85/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Dreamline CO.
AS18160 · 🇰🇷 South Korea
06

Recommendations

Actions taken & recommended

  • IP 121.53.92.228 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

🔎 Path Enumeration Protection

Block scanning from 121.53.92.228: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

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

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

10

Threat Analysis

121.53.92.228 has been assigned a threat score of 85/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

121.53.92.228 is registered in Sinjeong-dong, South Korea, operating on the network of Dreamline CO.. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 139 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~139 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 directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. South Korea currently accounts for 606 blocked IPs in our database, making it a major source of malicious traffic. At 85/100, this IP warrants immediate defensive action.

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 South Korea

220.118.151.107 (310)175.197.250.36 (310)58.127.77.173 (310)34.64.167.219 (293)34.64.98.171 (288)View all →

🏢 Same network: AS18160

View all →
12

Security Intelligence

💡 XML External Entity (XXE) Attacks

XXE vulnerabilities in XML parsers allow attackers to read local files, perform SSRF, and execute denial of service attacks. Many legacy applications and APIs remain vulnerable to XXE due to insecure default XML parser configurations.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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