ABUSE.MOM
THREAT REPORT

IP Threat Report
159.65.5.132

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-22 11:07:00
First seen: 2026-02-17 17:25:05
Last seen: 2026-02-17 17:26:16
85

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 85/100. Total malicious requests observed: 3.

DANGER_PATHRATIO_404REDIRECT_PROBEREFERERIMPORT
01

Geolocation & Classification

IP Address
159.65.5.132
Type
Hosting
Country
🇸🇬 Singapore
City
Singapore
ISP
DigitalOcean, LLC
Organization
DigitalOcean, LLC
Autonomous System
AS14061 DigitalOcean, LLC
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
Danger medium hits: 4Medium-risk: admin panels, config files+40
404 ratio 40-60%Majority of requests returned 404 — enumeration+15
Probe pattern 302->404 same pathBehavioral anomaly detected by automated analysis+20
Foreign referer seenReferer from unrelated external domain+10
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
Σ = 85
03

Observed Activity

Reconstructed HTTP requests from server access logs. Target domains redacted for security.

[redacted]
GET
/
200
Requests shown: 1 · HTTP 404: 0 · Dangerous patterns: 0

* Typical request patterns for detected signatures. Actual target domains are redacted.

04

Timeline

2026-02-17 17:25:05
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Danger medium hits: 4 (+40), 404 ratio 40-60% (+15), Probe pattern 302->404 same path (+20)
2026-02-17 17:26:16
Last malicious request observed
Total score reached: 85/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

DigitalOcean, LLC
AS14061 · 🇸🇬 Singapore
06

Recommendations

Actions taken & recommended

  • IP 159.65.5.132 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Other malicious IPs detected in the same /24 subnet — consider blocking 159.65.5.0/24
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🔎 Directory Scan Defense

IP 159.65.5.132 is enumerating directories. Configure fail2ban apache-404 jail after 10+ 404 errors. Disable directory listings. Normalize all 404 responses.

07

Neighbors in 159.65.5.0/24

Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.

08

Open Ports & Services

Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.

OPEN PORTS (1)
PortServiceRiskDescription
80HTTPLowHTTP web server — standard web traffic
KNOWN VULNERABILITIES (CVE) (54)
CVE IDLink
CVE-2023-31122NVD →
CVE-2025-66200NVD →
CVE-2023-25690NVD →
CVE-2006-20001NVD →
CVE-2024-40898NVD →
CVE-2022-26377NVD →
CVE-2024-42516NVD →
CVE-2025-23048NVD →
CVE-2012-4001NVD →
CVE-2009-2299NVD →
CVE-2012-3526NVD →
CVE-2013-0941NVD →
CVE-2024-38473NVD →
CVE-2013-0942NVD →
CVE-2024-39573NVD →
CVE-2025-58098NVD →
CVE-2024-24795NVD →
CVE-2013-4365NVD →
CVE-2011-2688NVD →
CVE-2024-38472NVD →
CVE-2022-37436NVD →
CVE-2024-38477NVD →
CVE-2009-0796NVD →
CVE-2022-29404NVD →
CVE-2022-23943NVD →
+29 more

🔴 Security scanning identified 54 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.

DETECTED TECHNOLOGIES
apache:http_server:2.4.52canonical:ubuntu_linux
Hostnames: konitanjungpinang.org
PTR: konitanjungpinang.org

Data source: Shodan InternetDB. Scanned independently of abuse.mom.

09

Blacklist Status (DNSBL)

This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.

✓ Clean
Spamhaus ZEN

Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.

10

Threat Analysis

159.65.5.132 has been assigned a threat score of 85/100 (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:

Path Enumeration

📊 Threat Analysis

IP address 159.65.5.132 has been traced to Singapore, Singapore, operating on the network of DigitalOcean, LLC. Our threat detection systems have flagged this address based on observed malicious behavior patterns. Over a period of 1 days, this IP generated 3 malicious requests, averaging approximately 3 requests per day. Operating from datacenter infrastructure, this IP is typical of addresses used in organized attack operations. Cloud and VPS providers are commonly exploited as launching platforms for automated scanning. Active path scanning has been detected — this IP probes for hundreds of common file and directory names. Our records show 141 malicious IPs originating from Singapore, positioning it as a significant contributor to global threat activity. At 85/100, this IP warrants immediate defensive action.

This IP belongs to a hosting or data center provider. Malicious traffic from hosting infrastructure often originates from compromised VPS instances, rented servers used for scanning campaigns, or abused free-tier cloud accounts. Hosting providers typically respond to abuse reports within 24-72 hours.

11

Related Threats

🇸🇬 Top threats from Singapore

85.203.23.12 (340)85.203.23.31 (330)84.17.39.195 (325)192.166.246.30 (325)85.203.21.101 (320)View all →

🏢 Same network: AS14061

129.212.237.216 (308)168.144.34.140 (295)170.64.203.182 (280)161.35.89.38 (273)64.226.94.117 (273)View all →
12

Security Intelligence

💡 File Upload Vulnerabilities

Insecure file upload functionality allows attackers to upload web shells, malware, or scripts that execute on the server. Proper validation must check file content, not just extensions, and uploaded files should be stored outside the web root.

💡 Privacy-Preserving Threat Detection

Advanced techniques enable threat detection while minimizing privacy impact. Encrypted DNS, differential privacy in analytics, and federated learning for threat models allow effective security monitoring without unnecessary surveillance of legitimate user behavior.

🔍 Check Any IP Address

Share this report: