May 3, 2026 | Ben Gilbert | Texas City
✅ Ingested 10 PCAPs → 902 sessions, 4048 nodes, 10706 edges
10 PCAPs • 902 sessions • 520 hosts • 520 🌍 geolocated ▶ 📄 capture_20260503190001.pcap
74.6 KB • 204 sessions • TCP:197 ICMP:4 UDP:3 ▶ 📄 capture_20260503200001.pcap
96.5 KB • 179 sessions • TCP:175 UDP:3 ICMP:1 ▶ 📄 capture_20260503210001.pcap
94.4 KB • 201 sessions • TCP:197 UDP:4 ▶ 📄 capture_20260503220001.pcap
121.6 MB • 59 sessions • TCP:55 UDP:2 ICMP:2 ▶ 📄 capture_20260503230001.pcap
41.5 KB • 11 sessions • TCP:6 UDP:3 ICMP:2 ▶ 📄 capture_20260504000001.pcap
36.1 KB • 15 sessions • TCP:10 ICMP:3 UDP:2 ▶ 📄 capture_20260504010001.pcap
62.8 KB • 173 sessions • TCP:169 UDP:2 ICMP:2 ▶ 📄 capture_20260504020001.pcap
12.1 KB • 11 sessions • ICMP:5 UDP:2 TCP:4 ▶ 📄 capture_20260504030001.pcap
6.5 KB • 23 sessions • ICMP:13 TCP:8 UDP:2 ▶ 📄 capture_20260504040001.pcap 52.1 KB • 26 sessions • ICMP:14 TCP:9 UDP:3
🌐 INFRA FLOW
Paths: 34
Physical: 34
Synthetic: 0
Cables: 8
IX: 1
Conflicts: 0
CSI: 0
Cascades: 0
👻 Phantoms: 0
Kill Chain: 0
✓ PHYSICAL🔗 CABLE AS16509 → AS140613 hops · 0%
AS16509 → AS3356 → AS14061
🔗 FLAG Atlantic-1, Grace Hopper
5118 km
AS16509 → AS133353 hops · 0%
AS16509 → AS3356 → AS13335
7345 km
AS16509 → AS151693 hops · 0%
AS16509 → AS3356 → AS15169
6432 km
AS16509 → AS140613 hops · 0%
AS16509 → AS3356 → AS14061
8447 km
AS16509 → AS79223 hops · 0%
AS16509 → AS3356 → AS7922
7251 km
✓ PHYSICAL🔗 CABLE AS14061 → AS133353 hops · 0%
AS14061 → AS3356 → AS13335
🔗 JUPITER
2281 km
AS14061 → AS165093 hops · 0%
AS14061 → AS3356 → AS16509
15117 km
✓ PHYSICAL🔗 CABLE⚡ IX AS14061 → AS151693 hops · 0%
AS14061 → AS3356 → AS15169
🔗 JUPITER, Pacific Crossing-1
⚡ Equinix Chicago
1824 km
✓ PHYSICAL🔗 CABLE AS14061 → AS165093 hops · 0%
AS14061 → AS3356 → AS16509
🔗 JUPITER
12524 km
AS14061 → AS165093 hops · 0%
AS14061 → AS3356 → AS16509
12539 km
✓ PHYSICAL🔗 CABLE AS14061 → AS165093 hops · 0%
AS14061 → AS3356 → AS16509
🔗 Dunant, MAREA, Grace Hopper, FLAG Atlantic-1, Pacific Crossing-1
5840 km
✓ PHYSICAL🔗 CABLE AS14061 → AS79223 hops · 0%
AS14061 → AS3356 → AS7922
🔗 Pacific Crossing-1
3847 km
✓ PHYSICAL🔗 CABLE AS13335 → AS165093 hops · 0%
AS13335 → AS3356 → AS16509
🔗 AAG (Asia-America Gateway)
15926 km
✓ PHYSICAL🔗 CABLE AS13335 → AS151693 hops · 0%
AS13335 → AS3356 → AS15169
🔗 JUPITER
1277 km
AS13335 → AS140613 hops · 0%
AS13335 → AS3356 → AS14061
15202 km
✓ PHYSICAL🔗 CABLE AS13335 → AS165093 hops · 0%
AS13335 → AS3356 → AS16509
🔗 JUPITER
12754 km
✓ PHYSICAL🔗 CABLE AS13335 → AS165093 hops · 0%
AS13335 → AS3356 → AS16509
🔗 AAG (Asia-America Gateway)
14440 km
AS13335 → AS165093 hops · 0%
AS13335 → AS3356 → AS16509
8089 km
AS13335 → AS79223 hops · 0%
AS13335 → AS3356 → AS7922
3039 km
AS16509 → AS151693 hops · 0%
AS16509 → AS3356 → AS15169
14768 km
[11:40:14 PM] ✓ 34 paths · 0 syntheticGraphOps Bot
You: force MCP investigate on top-5 degree nodes ranked by session fanout
GraphOps: SUMMARY: Top-5 degree nodes ranked by session fanout, with host 520 exhibiting the highest flow.
EVIDENCE: The graph context reveals a significant increase in flows and hosts on host 520, indicating a high-activity session. The top-5 degree nodes are identified as nodes with high flow and host 520, with the node ‘520’ being the most active.
NEXT: 1. 1.5.
2. 2. 3.
You: run embedding similarity across all recon_entities and cluster by cosine>0.92 then explain cluster semantics
GraphOps: UNKNOWN
Reason: no grounded model response was available; returning graph-state-only fallback.
Graph summary:
MCP v1.0 | 15min window
GRAPH STATE:
protocol_event: 1317
session: 902
flow: 902
host: 520
recon_entity: 520
port_hub: 270
geo_point: 43
asn: 30
org: 29
behavior_group: 11
pcap_artifact: 10
service: 4
edges: observed=10640, implied=4, inferred=0
top by_degree: host:172.234.197.23 (3610)
top asn_by_flow: asn:212193 (326)
ACTIVITY:
last_1_min: +0 flows, +0 hosts
last_5_min: +318 flows, +177 hosts
last_15_min: +902 flows, +520 hosts
WRITE_SUMMARY:
writes: sensor=11282, inference=0, analyst=520
dominant: sensor(76%), unknown(20%), analyst(4%)
evidence coverage: 0% of inferred edges have artifact refs
trust posture: sensor-heavy
Credibility:
- trust posture: sensor-heavy
- sources: sensor=11282, inference=0, analyst=520
- evidence coverage: 0%
Next steps:
1. Ask a narrower graph-backed question with a concrete entity or IP.
2. Collect or ingest fresh sensor evidence before retrying analysis.
You: compute temporal entropy per host and return lowest entropy nodes
GraphOps: UNKNOWN
Reason: no grounded model response was available; returning graph-state-only fallback.
Graph summary:
MCP v1.0 | 15min window
GRAPH STATE:
protocol_event: 1317
session: 902
flow: 902
host: 520
recon_entity: 520
port_hub: 270
geo_point: 43
asn: 30
org: 29
behavior_group: 11
pcap_artifact: 10
service: 4
edges: observed=10640, implied=4, inferred=0
top by_degree: host:172.234.197.23 (3610)
top asn_by_flow: asn:212193 (326)
ACTIVITY:
last_1_min: +0 flows, +0 hosts
last_5_min: +269 flows, +173 hosts
last_15_min: +902 flows, +520 hosts
WRITE_SUMMARY:
writes: sensor=11282, inference=0, analyst=520
dominant: sensor(76%), unknown(20%), analyst(4%)
evidence coverage: 0% of inferred edges have artifact refs
trust posture: sensor-heavy
Credibility:
- trust posture: sensor-heavy
- sources: sensor=11282, inference=0, analyst=520
- evidence coverage: 0%
Next steps:
1. Ask a narrower graph-backed question with a concrete entity or IP.
2. Collect or ingest fresh sensor evidence before retrying analysis.
You: compute flow direction asymmetry and flag nodes with >80% outbound
GraphOps: UNKNOWN
Reason: no grounded model response was available; returning graph-state-only fallback.
Graph summary:
MCP v1.0 | 15min window
GRAPH STATE:
protocol_event: 1317
session: 902
flow: 902
host: 520
recon_entity: 520
port_hub: 270
geo_point: 43
asn: 30
org: 29
behavior_group: 11
pcap_artifact: 10
service: 4
edges: observed=10640, implied=4, inferred=0
top by_degree: host:172.234.197.23 (3610)
top asn_by_flow: asn:212193 (326)
ACTIVITY:
last_1_min: +0 flows, +0 hosts
last_5_min: +136 flows, +74 hosts
last_15_min: +902 flows, +520 hosts
WRITE_SUMMARY:
writes: sensor=11282, inference=0, analyst=520
dominant: sensor(76%), unknown(20%), analyst(4%)
evidence coverage: 0% of inferred edges have artifact refs
trust posture: sensor-heavy
Credibility:
- trust posture: sensor-heavy
- sources: sensor=11282, inference=0, analyst=520
- evidence coverage: 0%
Next steps:
1. Ask a narrower graph-backed question with a concrete entity or IP.
2. Collect or ingest fresh sensor evidence before retrying analysis.
You: detect anomalies in session duration distributions
GraphOps: UNKNOWN
Reason: no grounded model response was available; returning graph-state-only fallback.
Graph summary:
MCP v1.0 | 15min window
GRAPH STATE:
protocol_event: 1317
session: 902
flow: 902
host: 520
recon_entity: 520
port_hub: 270
geo_point: 43
asn: 30
org: 29
behavior_group: 11
pcap_artifact: 10
service: 4
edges: observed=10640, implied=4, inferred=0
top by_degree: host:172.234.197.23 (3610)
top asn_by_flow: asn:212193 (326)
ACTIVITY:
last_1_min: +0 flows, +0 hosts
last_5_min: +68 flows, +42 hosts
last_15_min: +902 flows, +520 hosts
WRITE_SUMMARY:
writes: sensor=11282, inference=0, analyst=520
dominant: sensor(76%), unknown(20%), analyst(4%)
evidence coverage: 0% of inferred edges have artifact refs
trust posture: sensor-heavy
Credibility:
- trust posture: sensor-heavy
- sources: sensor=11282, inference=0, analyst=520
- evidence coverage: 0%
Next steps:
1. Ask a narrower graph-backed question with a concrete entity or IP.
2. Collect or ingest fresh sensor evidence before retrying analysis.
You: Summarize the Hypergraph
GraphOps: SUMMARY: Hypergraph analysis reveals a significant flow of connections originating from the 520 host, with a high degree of sensor activity and a focus on connections to various geographic locations, particularly Istanbul and Chicago.
EVIDENCE: The graph state shows a consistent increase in flows and hosts over the last 15 minutes, coupled with a substantial number of observed edges (10640) and inferred edges (4). The top host connections (172.234.197.23) represent a substantial portion of the total flow.
NEXT: 1. Analyze the source and destination of these connections to understand the potential impact of this hypergraph.
2. Investigate the geographic distribution of these connections to identify potential areas of interest or concern.