
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 4 | Medium-risk: admin panels, config files | +40 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Foreign referer seen | Referer from unrelated external domain | +10 | |
| Danger medium hits: 10 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block scanning from 45.33.157.6: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 3128 | Unknown | Low | Service on port 3128 |
| 8000 | Unknown | Low | Service on port 8000 |
| 8080 | HTTP-Alt | Low | HTTP alternative port — often used for admin panels or proxies |
| 8800 | Unknown | Low | Service on port 8800 |
| CVE ID | Link |
|---|---|
| CVE-2025-62168 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2016-2390 | NVD → |
| CVE-2019-18677 | NVD → |
| CVE-2021-31807 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2026-33515 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2019-12523 | NVD → |
| CVE-2019-18676 | NVD → |
| CVE-2018-1000027 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2014-7142 | NVD → |
| CVE-2016-4054 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2016-2571 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2024-37894 | NVD → |
| CVE-2015-5400 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2021-31806 | NVD → |
🔴 This host has 77 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 This volume strongly suggests severely outdated software.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.
45.33.157.6 has been assigned a threat score of 105/100 (Critical). With this rating, the IP falls into the critical severity bracket — among the most dangerous addresses in our monitoring database.
The following attack categories were identified:
45.33.157.6 is registered in Los Angeles, United States, operating on the network of QuickPacket, LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. The address has been active for 7 days in our monitoring system, producing 2 flagged requests at a rate of ~0.3/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. The IP exhibits directory enumeration behavior, systematically requesting non-existent paths to discover hidden files and misconfigured resources. Our records show 124 malicious IPs originating from United States, positioning it as a significant contributor to global threat activity. A score of 105/100 places this address in the top tier of severity. Block and investigate any historical connections.
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.
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.
Internet of Things devices are prime targets for botnet recruitment due to weak default credentials, infrequent updates, and always-on connectivity. Compromised IoT devices generate persistent scanning and attack traffic without their owners knowledge.