ABUSE.MOM
THREAT REPORT

IP Threat Report
103.59.161.148

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-10-25 06:11:57
First seen: 2026-09-27 12:17:58
Last seen: 2026-10-04 00:55:14
170

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 170/100. Total malicious requests observed: 127.

BURSTDANGER_PATH
01

Geolocation & Classification

IP Address
103.59.161.148
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
127
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 20/10sAbnormally fast request rate — automated scanning+35
Burst 6/2sAbnormally 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

2026-09-27 12:17:58
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 20/10s (+35), Burst 6/2s (+35), Danger strong hits: 42 (+100)
2026-10-04 00:55:14
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 103.59.161.148 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 103.59.161.148.

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

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

10

Threat Analysis

103.59.161.148 has been assigned a threat score of 170/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

Threat intelligence analysis has linked 103.59.161.148 to malicious activity originating from Kediri, Indonesia, operating on the network of PT Gunung Sedayu Sentosa. The address has been under observation since its initial detection. Our sensors captured 127 malicious requests from this address across a 6-day span, reflecting a sustained attack cadence of ~21.2 requests per 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. Rate-based attacks from this IP aim to overwhelm server resources through high-volume request flooding. With 1,090 flagged addresses, Indonesia represents a major presence in our threat database. 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.

💡 Critical Infrastructure Targeting

Attacks on power grids, water systems, and transportation networks have moved from theoretical to practical threats. Industrial control systems often lack modern security features, making them vulnerable to both targeted and opportunistic attacks.

🔍 Check Any IP Address

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