
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 4 | Medium-risk: admin panels, config files | +40 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| 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 109.248.152.231 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.
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 |
| 53 | DNS | Low | DNS server — potential for DNS amplification attacks |
| 161 | Unknown | Low | Service on port 161 |
| 1701 | Unknown | Low | Service on port 1701 |
| 8291 | MikroTik | High | MikroTik Winbox — router management, targeted by VPNFilter malware |
⚠️ 1 high-risk port detected on 109.248.152.231. These services should not be publicly accessible without strict firewall rules.
| CVE ID | Link |
|---|---|
| CVE-2020-20217 | NVD → |
| CVE-2020-20267 | NVD → |
| CVE-2020-20254 | NVD → |
| CVE-2020-20225 | NVD → |
| CVE-2019-3943 | NVD → |
| CVE-2020-20221 | NVD → |
| CVE-2019-13954 | NVD → |
| CVE-2019-15055 | NVD → |
| CVE-2020-20253 | NVD → |
| CVE-2020-10364 | NVD → |
| CVE-2019-13955 | NVD → |
| CVE-2019-3924 | NVD → |
| CVE-2023-32154 | NVD → |
| CVE-2022-36522 | NVD → |
| CVE-2024-54772 | NVD → |
| CVE-2023-30799 | NVD → |
| CVE-2018-5951 | NVD → |
| CVE-2020-20250 | NVD → |
| CVE-2020-20265 | NVD → |
| CVE-2019-16160 | NVD → |
| CVE-2021-3014 | NVD → |
| CVE-2019-3977 | NVD → |
| CVE-2019-3978 | NVD → |
| CVE-2019-3979 | NVD → |
| CVE-2020-20220 | NVD → |
🔴 This host has 42 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 This volume strongly suggests severely outdated software.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.
109.248.152.231 has been assigned a threat score of 65/100 (High). At this threat level, the IP is considered high risk. Firewall rules should be updated to deny traffic from this source.
The following attack categories were identified:
109.248.152.231 is registered in Kostanay, KZ, operating on the network of Uplink LLC. This IP first appeared in our threat feeds after triggering multiple behavioral detection signatures. Over a period of 1 days, this IP generated 1 malicious requests, averaging approximately 1 requests per day. The address is classified as residential, meaning it likely belongs to an end-user ISP connection. Malicious activity from residential IPs typically indicates device compromise or botnet membership. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. With 101 flagged addresses, KZ represents a significant presence in our threat database. The score of 65/100 warrants active monitoring and rate-limiting. Full blocking is advisable for sensitive systems.
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.
Command injection occurs when attackers insert operating system commands through application inputs. Successful exploitation grants direct server access, enabling data theft, malware installation, and lateral movement across networks.
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.