ABUSE.MOM
THREAT REPORT

IP Threat Report
176.15.162.228

ABUSE.MOM — BEHAVE OR GET EXPOSED

Generated: 2026-05-27 04:29:51
First seen: 2026-02-26 22:00:08
Last seen: 2026-02-26 22:00:08
70

⛔ Verdict: BLOCK

This IP address has been classified as a source of malicious automated activity. Threat score: 70/100. Total malicious requests observed: 1.

BURST
01

Geolocation & Classification

IP Address
176.15.162.228
Type
Residential
Country
🇷🇺 Russia
City
Yaroslavl
ISP
CORBINA-BROADBAND
Organization
Unknown
Autonomous System
AS16345 PJSC "Vimpelcom"
Hit Count
1
02

Detection Signatures

SignatureDescriptionPointsSeverity
Burst: 23 req / 2sAbnormally fast request rate — automated scanning+35
Burst: 23 req / 10sAbnormally fast request rate — automated scanning+35
Σ = 70
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

2026-02-26 22:00:08
First malicious request detected
IP entered monitoring from server access logs
During observation
Multiple detection signatures triggered
Burst: 23 req / 2s (+35), Burst: 23 req / 10s (+35)
2026-02-26 22:00:08
Last malicious request observed
Total score reached: 70/100
Next cycle
IP blocked — all subsequent requests denied (HTTP 403)
Added to blocklist automatically
05

Network Provider

CORBINA-BROADBAND
AS16345 · 🇷🇺 Russia
06

Recommendations

Actions taken & recommended

  • IP 176.15.162.228 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

🌊 Traffic Flood Defense

IP 176.15.162.228 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.

09

Blacklist Status (DNSBL)

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

⛔ LISTED
Spamhaus ZEN

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

10

Threat Analysis

176.15.162.228 has been assigned a threat score of 70/100 (High). This classifies it as a high-severity threat. Proactive blocking is recommended for sensitive infrastructure.

The following attack categories were identified:

Request Flooding

📊 Threat Analysis

IP address 176.15.162.228 has been traced to Yaroslavl, Russia, operating on the network of CORBINA-BROADBAND. Our threat detection systems have flagged this address based on observed malicious behavior patterns. During its 1-day observation window, we recorded 1 hostile requests from this IP — roughly 1 per day on average. 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 is engaged in request flooding, sending traffic at rates designed to exhaust server capacity. Our records show 108 malicious IPs originating from Russia, positioning it as a significant contributor to global threat activity. At 70/100, this IP warrants immediate defensive action.

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.

11

Related Threats

🇷🇺 Top threats from Russia

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🏢 Same network: AS16345

128.71.9.141 (120)128.71.179.119 (93)128.71.193.13 (85)128.71.33.63 (80)128.71.123.122 (80)View all →
12

Security Intelligence

💡 DDoS Mitigation Approaches

Distributed denial of service attacks overwhelm infrastructure with traffic volume. Effective mitigation combines always-on traffic scrubbing, anycast network distribution, rate limiting, and the ability to quickly scale absorption capacity during attacks.

💡 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

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