ABUSE.MOM
THREAT REPORT

IP Threat Report
103.59.161.117

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-25 05:46:22
First seen: 2026-10-20 07:22:44
Last seen: 2026-10-25 04:05:29
170

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 170/100. Total malicious requests observed: 65.

BURSTDANGER_PATH
01

Geolocation & Classification

IP Address
103.59.161.117
Type
Residential
Country
🇮🇩 Indonesia
City
Kediri
ISP
PT Gunung Sedayu Sentosa
Organization
PT Gunung Sedayu Sentosa
Autonomous System
AS150493 PT Gunung Sedayu Sentosa
Hit Count
65
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 13/2sAbnormally fast request rate — automated scanning+35
Burst 45/10sAbnormally fast request rate — automated scanning+35
Danger strong hits: 42High-risk paths: shells, RCE vectors, exploits+100
Σ = 170
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

2026-10-20 07:22:44
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 13/2s (+35), Burst 45/10s (+35), Danger strong hits: 42 (+100)
2026-10-25 04:05:29
Last malicious request observed
Total score reached: 170/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

PT Gunung Sedayu Sentosa
AS150493 · 🇮🇩 Indonesia

We have detected 26 malicious IPs from this autonomous system.

View all IPs from AS150493 →
06

Recommendations

Actions taken & recommended

  • IP 103.59.161.117 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 103.59.161.0/24
  • 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 103.59.161.117.

07

Neighbors in 103.59.161.0/24

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.

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

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

10

Threat Analysis

103.59.161.117 has been assigned a threat score of 170/100 (Critical). This is a critical-level threat. Systems administrators should treat this IP as hostile and block all inbound connections without exception.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

IP address 103.59.161.117 has been traced to Kediri, Indonesia, operating on the network of PT Gunung Sedayu Sentosa. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 4 days, this IP generated 65 malicious requests, averaging approximately 16.3 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. Our records show 1,090 malicious IPs originating from Indonesia, positioning it as a major contributor to global threat activity. At 170/100, this is an extremely high-risk address. All traffic should be considered hostile.

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

157.15.40.62 (340)157.15.40.88 (340)157.15.40.89 (340)157.15.40.61 (340)157.15.40.93 (340)View all →

🏢 Same network: AS150493

103.59.160.95 (238)103.59.160.248 (220)103.59.161.65 (215)103.59.161.199 (205)103.59.161.64 (205)View all →
12

Security Intelligence

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

💡 DNS Sinkholing for Malware Defense

DNS sinkholing redirects queries for known malicious domains to controlled IP addresses. This technique blocks malware communication, prevents data exfiltration, and identifies compromised internal hosts attempting to contact command-and-control servers.

🔍 Check Any IP Address

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