ABUSE.MOM
THREAT REPORT

IP Threat Report
36.77.28.170

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 05:54:08
First seen: 2026-02-23 02:00:07
Last seen: 2026-02-23 02:00:07
225

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 225/100. Total malicious requests observed: 1.

BOT_UAUA_CHANGEDDANGER_PATH
01

Geolocation & Classification

IP Address
36.77.28.170
Type
Residential
Country
🇮🇩 Indonesia
City
Kediri
ISP
PT. Telekomunikasi Indonesia
Organization
Unknown
Autonomous System
AS7713 PT Telekomunikasi Indonesia
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA bot: pythonKnown bot/crawler User-Agent detected+40
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger strong hits: 9High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 9Medium-risk: admin panels, config files+60
Σ = 225
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

2026-02-23 02:00:07
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA bot: python (+40), UA changed for same IP (+25), Danger strong hits: 9 (+100)
2026-02-23 02:00:07
Last malicious request observed
Total score reached: 225/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

PT. Telekomunikasi Indonesia
AS7713 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 36.77.28.170 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 36.77.28.170: 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.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

36.77.28.170 has been assigned a threat score of 225/100 (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:

User-Agent Anomaly

📊 Threat Analysis

36.77.28.170 is registered in Kediri, Indonesia, operating on the network of PT. Telekomunikasi Indonesia. 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. 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 101 flagged addresses, Indonesia represents a significant presence in our threat database. With a threat score of 225/100, this IP is among the most dangerous addresses in our database. Immediate and complete blocking is strongly recommended.

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 Indonesia

157.15.40.88 (340)203.175.125.130 (340)157.15.40.93 (340)157.15.40.62 (340)157.15.40.89 (340)View all →

🏢 Same network: AS7713

36.83.117.53 (295)36.77.27.11 (295)36.81.233.32 (295)36.83.122.201 (295)36.83.116.109 (295)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.

💡 Deepfake Technology in Social Engineering

Deepfake audio and video enable convincing impersonation of executives and trusted individuals. Real-time voice cloning has been used in successful fraud campaigns, adding a new dimension to social engineering that traditional security training does not address.

🔍 Check Any IP Address

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