
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 3 | High-risk paths: shells, RCE vectors, exploits | +75 | |
| Danger medium hits: 2 | Medium-risk: admin panels, config files | +20 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block 103.133.215.148 at the network perimeter. Implement defense-in-depth combining IP blocking with application-layer protections.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 21 | FTP | Medium | File Transfer Protocol — often targeted for anonymous login attacks |
| 22 | SSH | Low | Secure Shell — common brute force target for remote access |
| 25 | SMTP | Medium | SMTP mail server — can be abused for spam relay |
| 53 | DNS | Low | DNS server — potential for DNS amplification attacks |
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 110 | POP3 | Low | Service on port 110 |
| 143 | IMAP | Low | Service on port 143 |
| 443 | HTTPS | Low | HTTPS web server — encrypted web traffic |
| 465 | Unknown | Low | Service on port 465 |
| 587 | Unknown | Low | Service on port 587 |
| 993 | IMAPS | Low | Service on port 993 |
| 995 | POP3S | Low | Service on port 995 |
| 2222 | Unknown | Low | Service on port 2222 |
| 10000 | Unknown | Low | Service on port 10000 |
| 20000 | Unknown | Low | Service on port 20000 |
⚠️ Network scanning reveals 1 dangerous service exposed on 103.133.215.148. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2024-6387 | NVD → |
| CVE-2026-35414 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2026-35387 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2026-35388 | NVD → |
| CVE-2023-48795 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2026-35385 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2023-51385 | NVD → |
| CVE-2016-20012 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2026-35386 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2025-32728 | NVD → |
🔴 This host has 17 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 This volume strongly suggests severely outdated software.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.
103.133.215.148 has been assigned a threat score of 95/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
103.133.215.148 is registered in Noida, India, operating on the network of Ewebguru. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~1 requests per day. This residential IP is likely a compromised consumer device. Home routers and IoT equipment with default credentials are prime targets for botnet operators. India currently accounts for 101 blocked IPs in our database, making it a significant source of malicious traffic. At 95/100, 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.
Prototype pollution manipulates JavaScript object prototypes to inject properties that affect all objects in an application. This can lead to denial of service, property injection, and in some cases remote code execution in Node.js applications.
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.