ABUSE.MOM
THREAT REPORT

IP Threat Report
157.20.32.165

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-30 05:54:08
First seen: 2026-02-17 17:25:06
Last seen: 2026-02-17 17:26:16
220

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 220/100. Total malicious requests observed: 3.

UA_CHANGEDDANGER_PATHBURSTIMPORT
01

Geolocation & Classification

IP Address
157.20.32.165
Type
Hosting
Country
🇮🇩 Indonesia
City
Jakarta
ISP
PT Intercloud Digital Inovasi
Organization
PT Intercloud Digital Inovasi
Autonomous System
AS152390 PT Intercloud Digital Inovasi
Hit Count
3
02

Detection Signatures

SignatureDescriptionPointsSeverity
UA changed for same IPMultiple User-Agents — bot rotation technique+25
Danger strong hits: 15High-risk paths: shells, RCE vectors, exploits+100
Danger medium hits: 10Medium-risk: admin panels, config files+60
Burst: 14 req / 10sAbnormally fast request rate — automated scanning+35
Imported from old blocklistBehavioral anomaly detected by automated analysis+0
Σ = 220
03

Observed Activity

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

[redacted]
GET
/
200
[redacted]
GET
/page
200
Requests shown: 2 · HTTP 404: 0 · Dangerous patterns: 0

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

04

Timeline

2026-02-17 17:25:06
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
UA changed for same IP (+25), Danger strong hits: 15 (+100), Danger medium hits: 10 (+60)
2026-02-17 17:26:16
Last malicious request observed
Total score reached: 220/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

PT Intercloud Digital Inovasi
AS152390 · 🇮🇩 Indonesia
06

Recommendations

Actions taken & recommended

  • IP 157.20.32.165 is blocked at application level (HTTP 403)
  • Consider blocking at firewall level (iptables/CSF) to reduce server load
  • Report abuse to the network provider via their abuse contact
  • Ensure sensitive files (.env, .git, backups) are not accessible from the web

🤖 User-Agent Anomaly Defense

IP 157.20.32.165 shows suspicious UA behavior. Block empty User-Agent requests. Implement JavaScript-based bot detection for sensitive endpoints.

🌊 Traffic Flood Defense

IP 157.20.32.165 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

08

Open Ports & Services

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

OPEN PORTS (4)
PortServiceRiskDescription
23TelnetCriticalTelnet — unencrypted remote access, extremely dangerous if exposed
80HTTPLowHTTP web server — standard web traffic
2000UnknownLowService on port 2000
3000UnknownLowService on port 3000

⚠️ Network scanning reveals 1 dangerous service exposed on 157.20.32.165. Telnet (23) transmits credentials in plaintext — likely a compromised IoT device. These services should not be publicly accessible without strict firewall rules.

KNOWN VULNERABILITIES (CVE) (39)
CVE IDLink
CVE-2024-38474NVD →
CVE-2013-4365NVD →
CVE-2024-38475NVD →
CVE-2025-59775NVD →
CVE-2011-2688NVD →
CVE-2025-55753NVD →
CVE-2013-0942NVD →
CVE-2007-4723NVD →
CVE-2024-24795NVD →
CVE-2024-36387NVD →
CVE-2024-27316NVD →
CVE-2013-0941NVD →
CVE-2012-3526NVD →
CVE-2025-58098NVD →
CVE-2023-38709NVD →
CVE-2024-38476NVD →
CVE-2025-23419NVD →
CVE-2024-42516NVD →
CVE-2025-49630NVD →
CVE-2025-66200NVD →
CVE-2024-40898NVD →
CVE-2011-1176NVD →
CVE-2024-39573NVD →
CVE-2025-53020NVD →
CVE-2023-44487NVD →
+14 more

🔴 Security scanning identified 39 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.

DETECTED TECHNOLOGIES
apache:http_server:2.4.58f5:nginx:1.24.0linux:linux_kernelcanonical:ubuntu_linux
Hostnames: 152390-32-165.intercloud-digital.com
PTR: 152390-32-165.intercloud-digital.com

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

157.20.32.165 has been assigned a threat score of 220/100 (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:

User-Agent AnomalyRequest Flooding

📊 Threat Analysis

IP address 157.20.32.165 has been traced to Jakarta, Indonesia, operating on the network of PT Intercloud Digital Inovasi. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 1-day observation window, we recorded 3 hostile requests from this IP — roughly 3 per day on average. Classified as a hosting IP, this address likely runs on a rented server or cloud instance. Attackers prefer datacenter IPs for their high bandwidth and disposable nature. The dual attack vectors of User-Agent Anomaly combined with Request Flooding indicate a coordinated assault rather than opportunistic scanning. Our records show 101 malicious IPs originating from Indonesia, positioning it as a significant contributor to global threat activity. At 220/100, this is an extremely high-risk address. All traffic should be considered hostile.

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 Indonesia

157.15.40.88 (340)203.175.125.130 (340)157.15.40.93 (340)157.15.40.62 (340)157.15.40.89 (340)View all →

🏢 Same network: AS152390

View all →
12

Security Intelligence

💡 User-Agent Analysis Techniques

Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.

💡 Autonomous System Analysis

Analyzing attack patterns at the AS (Autonomous System) level reveals which networks harbor the most malicious activity. Some ASes have abuse rates orders of magnitude higher than average, indicating lax enforcement of acceptable use policies.

🔍 Check Any IP Address

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