
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 4 | High-risk paths: shells, RCE vectors, exploits | +100 | |
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Burst: 12 req / 10s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
IP 182.78.86.62 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
Implement limit_req_zone in nginx. Deploy CDN with DDoS protection. Configure SYN cookies and connection tracking to throttle 182.78.86.62.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 23 | Telnet | Critical | Telnet — unencrypted remote access, extremely dangerous if exposed |
| 53 | DNS | Low | DNS server — potential for DNS amplification attacks |
| 161 | Unknown | Low | Service on port 161 |
| 1701 | Unknown | Low | Service on port 1701 |
| 1883 | Unknown | Low | Service on port 1883 |
⚠️ Network scanning reveals 1 dangerous service exposed on 182.78.86.62. Telnet (23) transmits credentials in plaintext — likely a compromised IoT device. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2024-8376 | NVD → |
| CVE-2025-26466 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2023-0809 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2023-3592 | NVD → |
| CVE-2021-34431 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2021-41039 | NVD → |
| CVE-2021-34432 | NVD → |
| CVE-2024-6387 | NVD → |
| CVE-2025-32728 | NVD → |
| CVE-2024-10525 | NVD → |
| CVE-2023-28366 | NVD → |
🔴 This host has 15 known CVEs associated with its exposed services. This volume strongly suggests severely outdated software. Review each CVE in the NVD database.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
182.78.86.62 has been assigned a threat score of 240/100 (Critical). This places it in the critical threat category. Immediate blocking is strongly advised across all network perimeters.
The following attack categories were identified:
Network traffic from 182.78.86.62, located in Ludhiana, India, operating on the network of Bharti Airtel Limited, has been classified as malicious by our automated threat scoring engine. 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. Two attack patterns were identified (Path Enumeration and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 126 flagged addresses, India represents a significant presence in our threat database. At 240/100, 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.
SQL injection remains one of the most common web attack vectors. Attackers inject malicious SQL code through input fields to extract database contents, modify data, or gain administrative access. Automated scanners test for SQLi vulnerabilities at massive scale.
Monitoring dark web forums and marketplaces provides advance warning of planned attacks, leaked credentials, and compromised data. This intelligence feeds into proactive defense measures before attacks reach their targets.