ABUSE.MOM
THREAT REPORT

IP Threat Report
223.181.19.70

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 20:32:58
First seen: 2026-03-25 19:00:04
Last seen: 2026-03-25 19:00:04
60

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 60/100. Total malicious requests observed: 1.

DANGER_PATHRATIO_404REFERER
01

Geolocation & Classification

IP Address
223.181.19.70
Type
Residential
Country
🇮🇳 India
City
Chandigarh
ISP
Bharti Airtel Limited
Organization
Airtel UNOC
Autonomous System
AS24560 Bharti Airtel Ltd., Telemedia Services
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger strong hits: 1High-risk paths: shells, RCE vectors, exploits+25
404 ratio >= 60%Majority of requests returned 404 — enumeration+25
Foreign referer seenReferer from unrelated external domain+10
Σ = 60
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

2026-03-25 19:00:04
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger strong hits: 1 (+25), 404 ratio >= 60% (+25), Foreign referer seen (+10)
2026-03-25 19:00:04
Last malicious request observed
Total score reached: 60/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

Bharti Airtel Limited
AS24560 · 🇮🇳 India
06

Recommendations

Actions taken & recommended

  • IP 223.181.19.70 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 223.181.19.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Directory Scan Defense

IP 223.181.19.70 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 223.181.19.0/24

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

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

10

Threat Analysis

223.181.19.70 has been assigned a threat score of 60/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Path Enumeration

📊 Threat Analysis

Threat intelligence analysis has linked 223.181.19.70 to malicious activity originating from Chandigarh, India, operating on the network of Bharti Airtel Limited. The address has been under observation since its initial detection. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 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. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 203 malicious IPs originating from India, positioning it as a significant contributor to global threat activity. At 60/100, 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 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: AS24560

122.179.158.34 (235)106.219.181.37 (173)122.167.114.87 (168)122.161.52.219 (168)122.183.57.110 (168)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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