ABUSE.MOM
THREAT REPORT

IP Threat Report
196.242.195.84

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 10:03:59
First seen: 2026-02-22 21:00:05
Last seen: 2026-03-02 05:00:05
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 3.

DANGER_PATHREDIRECT_PROBEREFERER
01

Geolocation & Classification

IP Address
196.242.195.84
Type
Residential
Country
🇸🇬 Singapore
City
Singapore
ISP
Orion Network Limited
Organization
Fiber Grid
Autonomous System
AS58065 Orion Network Limited
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 4Medium-risk: admin panels, config files+40
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Foreign referer seenReferer from unrelated external domain+10
Danger medium hits: 2Medium-risk: admin panels, config files+20
Σ = 90
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

2026-02-22 21:00:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 4 (+40), Probe pattern 302->404 same path (+20), Foreign referer seen (+10)
2026-03-02 05:00:05
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Orion Network Limited
AS58065 · 🇸🇬 Singapore
06

Recommendations

Actions taken & recommended

  • IP 196.242.195.84 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

🔎 Path Enumeration Protection

Block scanning from 196.242.195.84: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.

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

196.242.195.84 has been assigned a threat score of 70/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

Network traffic from 196.242.195.84, located in Singapore, Singapore, operating on the network of Orion Network Limited, has been classified as malicious by our automated threat scoring engine. Our sensors captured 3 malicious requests from this address across a 7-day span, reflecting a sustained attack cadence of ~0.4 requests per 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 IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. With 11 flagged addresses, Singapore represents a notable presence in our threat database. At 70/100, this IP warrants immediate defensive action.

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 Singapore

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🏢 Same network: AS58065

196.240.254.145 (165)196.240.254.177 (165)196.240.254.170 (165)196.57.225.153 (140)196.240.254.225 (140)View all →
12

Security Intelligence

💡 Cross-Site Scripting (XSS) Attacks

XSS attacks inject malicious scripts into web pages viewed by other users. Reflected XSS uses crafted URLs, while stored XSS persists in databases. Both types can steal session cookies, redirect users, or deface websites.

💡 Machine Learning in Threat Detection

Machine learning models analyze vast amounts of network traffic to identify attack patterns invisible to rule-based systems. Supervised models classify known attack types while unsupervised models detect anomalies that may indicate novel threats.

🔍 Check Any IP Address

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