
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.
IP 45.33.145.128 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
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 |
| 21242 | Unknown | Low | Service on port 21242 |
| CVE ID | Link |
|---|---|
| CVE-2019-12523 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2016-4052 | NVD → |
| CVE-2020-24606 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2019-12529 | NVD → |
| CVE-2019-13345 | NVD → |
| CVE-2020-8449 | NVD → |
| CVE-2026-33526 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2016-4553 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2023-46728 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2013-0189 | NVD → |
| CVE-2018-1000027 | NVD → |
| CVE-2021-46784 | NVD → |
| CVE-2016-2570 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2020-14058 | NVD → |
| CVE-2016-4051 | NVD → |
| CVE-2014-7141 | NVD → |
| CVE-2014-7142 | NVD → |
| CVE-2023-46846 | NVD → |
🔴 Security scanning identified 77 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
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.
45.33.145.128 has been assigned a threat score of 105/100 (Critical). A score this high marks a critical threat actor. This address has demonstrated persistent, aggressive malicious behavior across multiple detection vectors.
The following attack categories were identified:
Threat intelligence analysis has linked 45.33.145.128 to malicious activity originating from Los Angeles, United States, operating on the network of QuickPacket, LLC. The address has been under observation since its initial detection. Over a period of 6 days, this IP generated 3 malicious requests, averaging approximately 0.5 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. 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. At 105/100, 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.
SSRF attacks trick servers into making requests to internal resources that should not be publicly accessible. This can expose cloud metadata endpoints, internal APIs, and private network services, potentially leading to full infrastructure compromise.
Automated response systems can block threats in milliseconds, far faster than human analysts. However, automation requires careful safeguards — rate limits on blocking actions, automatic expiration, and human review queues prevent automated systems from causing self-inflicted outages.