ABUSE.MOM
THREAT REPORT

IP Threat Report
182.253.90.77

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 08:01:42
First seen: 2026-04-01 10:00:04
Last seen: 2026-04-01 10:00:04
68

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 68/100. Total malicious requests observed: 1.

DANGER_PATHRATIO_404METHOD
01

Geolocation & Classification

IP Address
182.253.90.77
Type
Residential
Country
🇮🇩 Indonesia
City
Sungguminasa
ISP
BIZNET
Organization
Unknown
Autonomous System
AS17451 BIZNET NETWORKS
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
Danger medium hits: 1Medium-risk: admin panels, config files+10
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 68
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

2026-04-01 10:00:04
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 1 (+25), Danger medium hits: 1 (+10), 404 ratio >= 60% (+25)
2026-04-01 10:00:04
Last malicious request observed
Total score reached: 68/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

BIZNET
AS17451 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 182.253.90.77 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 182.253.90.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Path Enumeration Protection

Block scanning from 182.253.90.77: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

07

Neighbors in 182.253.90.0/24

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.

⛔ LISTED
zen.spamhaus.org
✓ Clean
dnsbl.sorbs.net
✓ Clean
ix.dnsbl.manitu.net
✓ Clean
bl.spamcop.net
✓ Clean
b.barracudacentral.org
✓ Clean
truncate.gbudb.net
✓ Clean
psbl.surriel.com
✓ Clean
dnsbl-1.uceprotect.net

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

10

Threat Analysis

182.253.90.77 has been assigned a threat score of 68/100 (High). The IP is rated as a high-level threat. Network administrators should implement blocking rules and monitor for any connections from this address.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

Network traffic from 182.253.90.77, located in Sungguminasa, Indonesia, operating on the network of BIZNET, has been classified as malicious by our automated threat scoring engine. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 130 malicious IPs originating from Indonesia, positioning it as a significant contributor to global threat activity. At 68/100, this IP presents a meaningful threat. Implement rate limiting with escalation to blocking.

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: AS17451

182.253.70.249 (268)182.253.50.122 (238)118.99.84.51 (238)118.99.84.64 (238)118.99.84.207 (228)View all →
12

Security Intelligence

💡 Credential Stuffing at Scale

Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.

💡 Threat Score Calculation Methods

Threat scoring combines multiple signals — request patterns, known signatures, IP reputation, geographic risk, and behavioral analysis — into a single actionable metric. Weighted scoring models allow tuning sensitivity to balance security with usability.

🔍 Check Any IP Address

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