ABUSE.MOM
THREAT REPORT

IP Threat Report
103.80.83.66

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 08:07:59
First seen: 2026-03-14 09:00:06
Last seen: 2026-03-14 13:00:06
130

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 130/100. Total malicious requests observed: 4.

UA_CHANGEDDANGER_PATHRATIO_404REDIRECT_PROBEREFERER
01

Geolocation & Classification

IP Address
103.80.83.66
Type
Residential
Country
🇮🇩 Indonesia
City
Ponorogo
ISP
Jaringanku Sarana Nusantara
Organization
Unknown
Autonomous System
AS64300 PT JARINGANKU SARANA NUSANTARA
Hit Count
4
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger medium hits: 12Medium-risk: admin panels, config files+60
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Foreign referer seenReferer from unrelated external domain+10
Danger medium hits: 18Medium-risk: admin panels, config files+60
Danger medium hits: 6Medium-risk: admin panels, config files+60
Σ = 250
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

2026-03-14 09:00:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Danger medium hits: 12 (+60), 404 ratio 40-60% (+15)
2026-03-14 13:00:06
Last malicious request observed
Total score reached: 130/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Jaringanku Sarana Nusantara
AS64300 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 103.80.83.66 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 103.80.83.66: maintain blocklist of known malicious UA strings, require consistent UA across sessions, implement TLS fingerprinting.

🔎 Path Enumeration Protection

Block scanning from 103.80.83.66: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (6)
PortServiceRiskDescription
123UnknownLowService on port 123
161UnknownLowService on port 161
2000UnknownLowService on port 2000
3022UnknownLowService on port 3022
5000UnknownLowService on port 5000
7547UnknownLowService on port 7547
DETECTED TECHNOLOGIES
ntp:ntp:3

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

09

Blacklist Status (DNSBL)

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

✓ Clean
Spamhaus ZEN

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

10

Threat Analysis

103.80.83.66 has been assigned a threat score of 130/100 (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 AnomalyPath Enumeration

📊 Threat Analysis

Our monitoring infrastructure has identified 103.80.83.66, geolocated to Ponorogo, Indonesia, operating on the network of Jaringanku Sarana Nusantara, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 4 flagged requests at a rate of ~4/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. The dual attack vectors of User-Agent Anomaly combined with Path Enumeration indicate a coordinated assault rather than opportunistic scanning. With 102 flagged addresses, Indonesia represents a significant presence in our threat database. With a threat score of 130/100, 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: AS64300

103.18.232.156 (130)View all →
12

Security Intelligence

💡 HTTP Header Analysis for Threat Detection

Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.

💡 Multi-Factor Authentication Importance

MFA dramatically reduces the effectiveness of credential-based attacks. Even when passwords are compromised through phishing or data breaches, the additional authentication factor prevents unauthorized access in the vast majority of cases.

🔍 Check Any IP Address

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