ABUSE.MOM
THREAT REPORT

IP Threat Report
49.43.43.57

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 08:00:42
First seen: 2026-02-21 01:40:03
Last seen: 2026-02-21 01:40:03
103

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 103/100. Total malicious requests observed: 1.

DANGER_PATHMETHOD
01

Geolocation & Classification

IP Address
49.43.43.57
Type
Residential
Country
🇮🇳 India
City
Bhopal
ISP
Reliance Jio Infocomm Limited
Organization
Reliance Jio Infocomm Limited
Autonomous System
AS55836 Reliance Jio Infocomm Limited
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 3High-risk paths: shells, RCE vectors, exploits+75
Danger medium hits: 2Medium-risk: admin panels, config files+20
POST requests presentBehavioral anomaly detected by automated analysis+8
Σ = 103
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

2026-02-21 01:40:03
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 3 (+75), Danger medium hits: 2 (+20), POST requests present (+8)
2026-02-21 01:40:03
Last malicious request observed
Total score reached: 103/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Reliance Jio Infocomm Limited
AS55836 · 🇮🇳 India
06

Recommendations

Actions taken & recommended

  • IP 49.43.43.57 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

⚙️ General Security

Add 49.43.43.57 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

49.43.43.57 has been assigned a threat score of 103/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.

📊 Threat Analysis

Threat intelligence analysis has linked 49.43.43.57 to malicious activity originating from Bhopal, India, operating on the network of Reliance Jio Infocomm Limited. The address has been under observation since its initial detection. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/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. With 201 flagged addresses, India represents a significant presence in our threat database. At 103/100, 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 India

49.248.192.204 (313)62.72.43.237 (305)4.188.251.0 (280)103.78.247.150 (280)40.80.90.214 (280)View all →

🏢 Same network: AS55836

49.42.179.245 (208)49.37.241.5 (173)152.58.31.35 (168)49.43.42.142 (168)152.59.3.161 (168)View all →
12

Security Intelligence

💡 API Abuse and Enumeration

Modern attacks increasingly target APIs rather than traditional web interfaces. Attackers enumerate endpoints, test for broken authentication, and exploit excessive data exposure. API attacks are harder to detect as they mimic legitimate programmatic access patterns.

💡 Web Application Firewall Strategies

WAFs inspect HTTP traffic to block common attacks but require careful tuning. Overly aggressive rules cause false positives while permissive configurations miss attacks. Modern WAFs combine signature matching with behavioral analysis and machine learning.

🔍 Check Any IP Address

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