Security Dashboard

RA 10175 · Cybercrime Prevention Act · Last sync: 2026-06-12 03:52 PHT

🇵🇭

Real-Time Security Operations

DICT–NCERT · gov.ph coverage · 4 subnets · 847 monitored endpoints · ML model v2.4.1

Live — scanning 12,400 pkt/s
↑+2 vs 1h ago

Active Threats Right Now

3

2 Critical · 1 High — Immediate action required

2 Critical1 High0 Medium
↑+0.3% vs yesterday

ML Detection Accuracy

98.6%

Random Forest · XGBoost ensemble

↓-0.2s vs avg

Avg. Detection Time

1.4s

Target: <2.0s · SLA met

↑+18% vs yesterday

Threats Detected (24h)

1,284

847 auto-blocked · 437 under review

↑+94 this hour

Blocked IPs

342

94 new blocks in last hour

↓-0.4% vs last week

False Positive Rate

1.2%

Below 2.0% threshold — optimal

↑+8% vs baseline

Network Traffic (24h)

4.7 TB

12,400 pkt/s current · +8% vs avg

Network Traffic Anomaly — Last 24h

Normal vs malicious packet rate · 2 spike events detected

Normal
Malicious

Attack Type Distribution

1,284 total detections (24h)

DDoS
37.9%
Brute Force
24.3%
Port Scan
19.3%
Botnet
11.1%
Malware
7.3%

Live Threat Feed

1 active
Auto-refresh: 5s
Critical
DDoS — Volumetric203.0.113.47→fw-edge-01
03:51:44·XGBoost·99.2% conf.
Active
Critical
Brute Force — SSH185.220.101.33→srv-db-02
03:49:12·Random Forest·97.8% conf.
Mitigating
High
Port Scan — SYN198.51.100.22→web-proxy-01
03:47:08·LightGBM·94.1% conf.
Blocked
High
Botnet C2 Traffic91.108.4.12→ws-finance-07
03:44:55·Deep Neural Network·91.6% conf.
Blocked
Medium
Malware Comm.10.0.14.88→ws-hr-03
03:41:30·Random Forest·87.4% conf.
Blocked
Medium
Credential Stuffing45.33.32.156→auth-svc-01
03:38:17·XGBoost·85.9% conf.
Blocked
Low
Recon — ICMP172.16.0.44→net-segment-b
03:35:04·LightGBM·78.2% conf.
Blocked
Info
Policy Violation10.0.2.115→ws-dev-12
03:32:51·Random Forest·72% conf.
Blocked

Device Status

7 monitored
3Clean
2At Risk
1Compromised
1Offline

  • fw-edge-01

    10.0.0.1

    At Risk

  • srv-db-02

    10.0.1.14

    At Risk

  • web-proxy-01

    10.0.1.20

    Clean

  • ws-finance-07

    10.0.2.107

    Compromised

  • ws-hr-03

    10.0.2.83

    Clean

  • mob-exec-01

    10.0.3.12

    Clean

  • rtr-branch-b

    10.0.4.1

    Offline

ML Model Performance

Ensemble accuracy — CICIDS2017 + UNSW-NB15

Random Forest
98.6%
XGBoost
98.1%
LightGBM
97.4%
Deep Neural Net
99.1%