ABUSE.MOM
THREAT REPORT

IP Threat Report
202.83.120.57

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-07-19 05:27:38
First seen: 2026-07-02 09:32:18
Last seen: 2026-07-19 03:58:38
65

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 65/100. Total malicious requests observed: 337.

BOT_UARATIO_404
01

Geolocation & Classification

IP Address
202.83.120.57
Type
Residential
Country
🇮🇩 Indonesia
City
Jakarta
ISP
PT. Cybertechtonic Pratama
Organization
Unknown
Autonomous System
AS131745 PT. Cybertechtonic Pratama
Hit Count
337
02

Detection Signatures

SignatureDescriptionPointsSeverity
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
UA bot: pythonKnown bot/crawler User-Agent detected+40
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

2026-07-02 09:32:18
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
404 ratio >= 60% (+25), UA bot: python (+40)
2026-07-19 03:58:38
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

PT. Cybertechtonic Pratama
AS131745 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 202.83.120.57 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 202.83.120.57: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

🤖 Bot Detection

Address UA spoofing from 202.83.120.57: 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
bl.spamcop.net
✓ Clean
dnsbl.dronebl.org
✓ Clean
cbl.abuseat.org
✓ Clean
zen.spamhaus.org
✓ Clean
b.barracudacentral.org
✓ Clean
spam.dnsbl.sorbs.net
✓ Clean
psbl.surriel.com

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

10

Threat Analysis

202.83.120.57 has been assigned a threat score of 65/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Path EnumerationUser-Agent Anomaly

📊 Threat Analysis

Threat intelligence analysis has linked 202.83.120.57 to malicious activity originating from Jakarta, Indonesia, operating on the network of PT. Cybertechtonic Pratama. The address has been under observation since its initial detection. The address has been active for 16 days in our monitoring system, producing 337 flagged requests at a rate of ~21.1/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Two attack patterns were identified (Path Enumeration and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. Our records show 101 malicious IPs originating from Indonesia, positioning it as a significant contributor to global threat activity. At 65/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

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: AS131745

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.

💡 Emerging Threats from AI-Powered Attacks

Artificial intelligence enables more convincing phishing content, faster vulnerability discovery, and adaptive attack strategies that learn from defensive responses. AI-generated social engineering and automated exploit development represent growing threats.

🔍 Check Any IP Address

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