{"id":5854,"date":"2026-05-04T04:28:13","date_gmt":"2026-05-04T04:28:13","guid":{"rendered":"http:\/\/localhost:8080\/?page_id=5854"},"modified":"2026-05-04T04:41:26","modified_gmt":"2026-05-04T04:41:26","slug":"session-6f843271887df203","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=5854","title":{"rendered":"scythe-78e372b0 SESSION-6f843271887df203"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">May 3, 2026 | Ben Gilbert | Texas City<\/p>\n\n\n\n<div class=\"wp-block-file\"><a id=\"wp-block-file--media-2d08569d-b5bd-4bc3-8b78-7b5297b5df99\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2026\/05\/session-hypergraph-SESSION-6f843271.html\">session-hypergraph-SESSION-6f843271<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2026\/05\/session-hypergraph-SESSION-6f843271.html\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-2d08569d-b5bd-4bc3-8b78-7b5297b5df99\">Download<\/a><\/div>\n\n\n\n<div class=\"wp-block-file\"><a id=\"wp-block-file--media-916045a3-0ffe-4dd6-8931-7011e365b032\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2026\/05\/scythe-78e372b0-Edges.txt\">scythe-78e372b0 Edges<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2026\/05\/scythe-78e372b0-Edges.txt\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-916045a3-0ffe-4dd6-8931-7011e365b032\">Download<\/a><\/div>\n\n\n\n<pre class=\"wp-block-code\"><code>\u2705 Ingested 10 PCAPs \u2192 902 sessions, 4048 nodes, 10706 edges\n10 PCAPs \u2022 902 sessions \u2022 520 hosts \u2022 520 \ud83c\udf0d geolocated \u25b6 \ud83d\udcc4 capture_20260503190001.pcap\n74.6 KB \u2022 204 sessions \u2022 TCP:197 ICMP:4 UDP:3 \u25b6 \ud83d\udcc4 capture_20260503200001.pcap\n96.5 KB \u2022 179 sessions \u2022 TCP:175 UDP:3 ICMP:1 \u25b6 \ud83d\udcc4 capture_20260503210001.pcap\n94.4 KB \u2022 201 sessions \u2022 TCP:197 UDP:4 \u25b6 \ud83d\udcc4 capture_20260503220001.pcap\n121.6 MB \u2022 59 sessions \u2022 TCP:55 UDP:2 ICMP:2 \u25b6 \ud83d\udcc4 capture_20260503230001.pcap\n41.5 KB \u2022 11 sessions \u2022 TCP:6 UDP:3 ICMP:2 \u25b6 \ud83d\udcc4 capture_20260504000001.pcap\n36.1 KB \u2022 15 sessions \u2022 TCP:10 ICMP:3 UDP:2 \u25b6 \ud83d\udcc4 capture_20260504010001.pcap\n62.8 KB \u2022 173 sessions \u2022 TCP:169 UDP:2 ICMP:2 \u25b6 \ud83d\udcc4 capture_20260504020001.pcap\n12.1 KB \u2022 11 sessions \u2022 ICMP:5 UDP:2 TCP:4 \u25b6 \ud83d\udcc4 capture_20260504030001.pcap\n6.5 KB \u2022 23 sessions \u2022 ICMP:13 TCP:8 UDP:2 \u25b6 \ud83d\udcc4 capture_20260504040001.pcap 52.1 KB \u2022 26 sessions \u2022 ICMP:14 TCP:9 UDP:3\n<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code>\ud83c\udf10 INFRA FLOW\nPaths: 34\nPhysical: 34\nSynthetic: 0\nCables: 8\nIX: 1\nConflicts: 0\nCSI: 0\nCascades: 0\n\ud83d\udc7b Phantoms: 0\nKill Chain: 0\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS16509 \u2192 AS140613 hops \u00b7 0%\nAS16509 \u2192 AS3356 \u2192 AS14061\n\ud83d\udd17 FLAG Atlantic-1, Grace Hopper\n5118 km\nAS16509 \u2192 AS133353 hops \u00b7 0%\nAS16509 \u2192 AS3356 \u2192 AS13335\n7345 km\nAS16509 \u2192 AS151693 hops \u00b7 0%\nAS16509 \u2192 AS3356 \u2192 AS15169\n6432 km\nAS16509 \u2192 AS140613 hops \u00b7 0%\nAS16509 \u2192 AS3356 \u2192 AS14061\n8447 km\nAS16509 \u2192 AS79223 hops \u00b7 0%\nAS16509 \u2192 AS3356 \u2192 AS7922\n7251 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS14061 \u2192 AS133353 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS13335\n\ud83d\udd17 JUPITER\n2281 km\nAS14061 \u2192 AS165093 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS16509\n15117 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE\u26a1 IX AS14061 \u2192 AS151693 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS15169\n\ud83d\udd17 JUPITER, Pacific Crossing-1\n\u26a1 Equinix Chicago\n1824 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS14061 \u2192 AS165093 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS16509\n\ud83d\udd17 JUPITER\n12524 km\nAS14061 \u2192 AS165093 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS16509\n12539 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS14061 \u2192 AS165093 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS16509\n\ud83d\udd17 Dunant, MAREA, Grace Hopper, FLAG Atlantic-1, Pacific Crossing-1\n5840 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS14061 \u2192 AS79223 hops \u00b7 0%\nAS14061 \u2192 AS3356 \u2192 AS7922\n\ud83d\udd17 Pacific Crossing-1\n3847 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS13335 \u2192 AS165093 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS16509\n\ud83d\udd17 AAG (Asia-America Gateway)\n15926 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS13335 \u2192 AS151693 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS15169\n\ud83d\udd17 JUPITER\n1277 km\nAS13335 \u2192 AS140613 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS14061\n15202 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS13335 \u2192 AS165093 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS16509\n\ud83d\udd17 JUPITER\n12754 km\n\u2713 PHYSICAL\ud83d\udd17 CABLE AS13335 \u2192 AS165093 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS16509\n\ud83d\udd17 AAG (Asia-America Gateway)\n14440 km\nAS13335 \u2192 AS165093 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS16509\n8089 km\nAS13335 \u2192 AS79223 hops \u00b7 0%\nAS13335 \u2192 AS3356 \u2192 AS7922\n3039 km\nAS16509 \u2192 AS151693 hops \u00b7 0%\nAS16509 \u2192 AS3356 \u2192 AS15169\n14768 km\n&#91;11:40:14 PM] \u2713 34 paths \u00b7 0 synthetic<\/code><\/pre>\n\n\n\n<pre class=\"wp-block-code\"><code>GraphOps Bot\nYou: force MCP investigate on top-5 degree nodes ranked by session fanout\nGraphOps: SUMMARY: Top-5 degree nodes ranked by session fanout, with host 520 exhibiting the highest flow.\n\nEVIDENCE: 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 \u2018520\u2019 being the most active.\n\nNEXT: 1. 1.5.\n2. 2. 3.\nYou: run embedding similarity across all recon_entities and cluster by cosine>0.92 then explain cluster semantics\nGraphOps: UNKNOWN\nReason: no grounded model response was available; returning graph-state-only fallback.\nGraph summary:\nMCP v1.0 | 15min window\n\nGRAPH STATE:\nprotocol_event: 1317\nsession: 902\nflow: 902\nhost: 520\nrecon_entity: 520\nport_hub: 270\ngeo_point: 43\nasn: 30\norg: 29\nbehavior_group: 11\npcap_artifact: 10\nservice: 4\nedges: observed=10640, implied=4, inferred=0\ntop by_degree: host:172.234.197.23 (3610)\ntop asn_by_flow: asn:212193 (326)\n\nACTIVITY:\nlast_1_min: +0 flows, +0 hosts\nlast_5_min: +318 flows, +177 hosts\nlast_15_min: +902 flows, +520 hosts\n\nWRITE_SUMMARY:\nwrites: sensor=11282, inference=0, analyst=520\ndominant: sensor(76%), unknown(20%), analyst(4%)\nevidence coverage: 0% of inferred edges have artifact refs\ntrust posture: sensor-heavy\n\nCredibility:\n- trust posture: sensor-heavy\n- sources: sensor=11282, inference=0, analyst=520\n- evidence coverage: 0%\n\nNext steps:\n1. Ask a narrower graph-backed question with a concrete entity or IP.\n2. Collect or ingest fresh sensor evidence before retrying analysis.\nYou: compute temporal entropy per host and return lowest entropy nodes\nGraphOps: UNKNOWN\nReason: no grounded model response was available; returning graph-state-only fallback.\nGraph summary:\nMCP v1.0 | 15min window\n\nGRAPH STATE:\nprotocol_event: 1317\nsession: 902\nflow: 902\nhost: 520\nrecon_entity: 520\nport_hub: 270\ngeo_point: 43\nasn: 30\norg: 29\nbehavior_group: 11\npcap_artifact: 10\nservice: 4\nedges: observed=10640, implied=4, inferred=0\ntop by_degree: host:172.234.197.23 (3610)\ntop asn_by_flow: asn:212193 (326)\n\nACTIVITY:\nlast_1_min: +0 flows, +0 hosts\nlast_5_min: +269 flows, +173 hosts\nlast_15_min: +902 flows, +520 hosts\n\nWRITE_SUMMARY:\nwrites: sensor=11282, inference=0, analyst=520\ndominant: sensor(76%), unknown(20%), analyst(4%)\nevidence coverage: 0% of inferred edges have artifact refs\ntrust posture: sensor-heavy\n\nCredibility:\n- trust posture: sensor-heavy\n- sources: sensor=11282, inference=0, analyst=520\n- evidence coverage: 0%\n\nNext steps:\n1. Ask a narrower graph-backed question with a concrete entity or IP.\n2. Collect or ingest fresh sensor evidence before retrying analysis.\nYou: compute flow direction asymmetry and flag nodes with >80% outbound\nGraphOps: UNKNOWN\nReason: no grounded model response was available; returning graph-state-only fallback.\nGraph summary:\nMCP v1.0 | 15min window\n\nGRAPH STATE:\nprotocol_event: 1317\nsession: 902\nflow: 902\nhost: 520\nrecon_entity: 520\nport_hub: 270\ngeo_point: 43\nasn: 30\norg: 29\nbehavior_group: 11\npcap_artifact: 10\nservice: 4\nedges: observed=10640, implied=4, inferred=0\ntop by_degree: host:172.234.197.23 (3610)\ntop asn_by_flow: asn:212193 (326)\n\nACTIVITY:\nlast_1_min: +0 flows, +0 hosts\nlast_5_min: +136 flows, +74 hosts\nlast_15_min: +902 flows, +520 hosts\n\nWRITE_SUMMARY:\nwrites: sensor=11282, inference=0, analyst=520\ndominant: sensor(76%), unknown(20%), analyst(4%)\nevidence coverage: 0% of inferred edges have artifact refs\ntrust posture: sensor-heavy\n\nCredibility:\n- trust posture: sensor-heavy\n- sources: sensor=11282, inference=0, analyst=520\n- evidence coverage: 0%\n\nNext steps:\n1. Ask a narrower graph-backed question with a concrete entity or IP.\n2. Collect or ingest fresh sensor evidence before retrying analysis.\nYou: detect anomalies in session duration distributions\nGraphOps: UNKNOWN\nReason: no grounded model response was available; returning graph-state-only fallback.\nGraph summary:\nMCP v1.0 | 15min window\n\nGRAPH STATE:\nprotocol_event: 1317\nsession: 902\nflow: 902\nhost: 520\nrecon_entity: 520\nport_hub: 270\ngeo_point: 43\nasn: 30\norg: 29\nbehavior_group: 11\npcap_artifact: 10\nservice: 4\nedges: observed=10640, implied=4, inferred=0\ntop by_degree: host:172.234.197.23 (3610)\ntop asn_by_flow: asn:212193 (326)\n\nACTIVITY:\nlast_1_min: +0 flows, +0 hosts\nlast_5_min: +68 flows, +42 hosts\nlast_15_min: +902 flows, +520 hosts\n\nWRITE_SUMMARY:\nwrites: sensor=11282, inference=0, analyst=520\ndominant: sensor(76%), unknown(20%), analyst(4%)\nevidence coverage: 0% of inferred edges have artifact refs\ntrust posture: sensor-heavy\n\nCredibility:\n- trust posture: sensor-heavy\n- sources: sensor=11282, inference=0, analyst=520\n- evidence coverage: 0%\n\nNext steps:\n1. Ask a narrower graph-backed question with a concrete entity or IP.\n2. Collect or ingest fresh sensor evidence before retrying analysis.\nYou: Summarize the Hypergraph\nGraphOps: 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.\n\nEVIDENCE: 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.\n\nNEXT: 1. Analyze the source and destination of these connections to understand the potential impact of this hypergraph.\n2. Investigate the geographic distribution of these connections to identify potential areas of interest or concern.<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>May 3, 2026 | Ben Gilbert | Texas City<\/p>\n","protected":false},"author":1,"featured_media":5652,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-5854","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/5854","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5854"}],"version-history":[{"count":2,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/5854\/revisions"}],"predecessor-version":[{"id":5859,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/5854\/revisions\/5859"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/5652"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5854"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}