ABUSE.MOM
THREAT REPORT

IP Threat Report
180.247.59.112

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-09-13 02:01:34
First seen: 2026-08-22 20:42:56
Last seen: 2026-08-23 02:00:54
83

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 83/100. Total malicious requests observed: 6.

BOT_UABURSTMETHOD
01

Geolocation & Classification

IP Address
180.247.59.112
Type
Residential
Country
🇮🇩 Indonesia
City
Bekasi
ISP
Telekomunikasi Indonesia
Organization
Unknown
Autonomous System
AS7713 PT Telekomunikasi Indonesia
Hit Count
6
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst 12/10sAbnormally fast request rate — automated scanning+35
POST seenBehavioral anomaly detected by automated analysis+8
UA bot: pythonKnown bot/crawler User-Agent detected+40
Σ = 83
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

2026-08-22 20:42:56
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst 12/10s (+35), POST seen (+8), UA bot: python (+40)
2026-08-23 02:00:54
Last malicious request observed
Total score reached: 83/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Telekomunikasi Indonesia
AS7713 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 180.247.59.112 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

🌊 Flood / DDoS Mitigation

Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 180.247.59.112.

🤖 User-Agent Anomaly Defense

IP 180.247.59.112 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

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

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

10

Threat Analysis

180.247.59.112 has been assigned a threat score of 83/100 (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 FloodingUser-Agent Anomaly

📊 Threat Analysis

IP address 180.247.59.112 has been traced to Bekasi, Indonesia, operating on the network of Telekomunikasi Indonesia. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 6 malicious requests, averaging approximately 6 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. Two attack patterns were identified (Request Flooding and User-Agent Anomaly), suggesting a semi-automated campaign that targets multiple vulnerabilities. Indonesia currently accounts for 122 blocked IPs in our database, making it a significant source of malicious traffic. The score of 83/100 indicates a confirmed malicious actor. Network-level blocking is appropriate.

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: AS7713

36.68.128.22 (295)125.165.34.191 (295)36.68.125.232 (215)110.138.86.124 (200)36.68.125.159 (165)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.

💡 Brute Force Attack Mechanics

Brute force attacks systematically try username and password combinations to gain unauthorized access. Modern attacks leverage credential databases from previous breaches, testing millions of combinations using distributed botnets across multiple IP addresses.

🔍 Check Any IP Address

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