
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger strong hits: 2 | High-risk paths: shells, RCE vectors, exploits | +50 | |
| 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 162.241.53.84 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 |
| 26 | Unknown | Low | Service on port 26 |
| 53 | DNS | Low | DNS server — potential for DNS amplification attacks |
| 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 |
| 2083 | Unknown | Low | Service on port 2083 |
| 2086 | Unknown | Low | Service on port 2086 |
| 2087 | Unknown | Low | Service on port 2087 |
| 3306 | MySQL | High | MySQL database — should never be exposed to the internet |
| 22022 | Unknown | Low | Service on port 22022 |
⚠️ 2 high-risk ports detected on 162.241.53.84. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2018-15919 | NVD → |
| CVE-2025-32728 | NVD → |
| CVE-2018-20685 | NVD → |
| CVE-2017-15906 | NVD → |
| CVE-2021-41617 | NVD → |
| CVE-2018-15473 | NVD → |
| CVE-2016-20012 | NVD → |
| CVE-2025-26465 | NVD → |
| CVE-2023-38408 | NVD → |
| CVE-2021-36368 | NVD → |
| CVE-2019-6109 | NVD → |
| CVE-2007-2768 | NVD → |
| CVE-2019-6110 | NVD → |
| CVE-2020-14145 | NVD → |
| CVE-2019-6111 | NVD → |
| CVE-2020-15778 | NVD → |
| CVE-2023-51767 | NVD → |
| CVE-2023-51385 | NVD → |
| CVE-2008-3844 | NVD → |
| CVE-2023-48795 | NVD → |
🔴 This host has 20 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.
162.241.53.84 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.
Network traffic from 162.241.53.84, located in Provo, United States, operating on the network of Network Solutions, LLC, has been classified as malicious by our automated threat scoring engine. Our sensors captured 1 malicious requests from this address across a 1-day span, reflecting a sustained attack cadence of ~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. With 108 flagged addresses, United States represents a significant presence in our threat database. A threat score of 70/100 places this IP in the high-risk category. Blocking at the firewall level is recommended.
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.
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
Examining HTTP headers beyond User-Agent reveals attack tools and automated scripts. Missing standard headers, unusual ordering, non-standard values, and inconsistencies with claimed client identity all serve as reliable detection signals.