LSN โ€” Local Sovereign Network

The Recount โ€” Churn Without Growth

TI-2026-067B ยท Series: ๐Ÿ” The Steady State ยท TLP:WHITE ยท 2026-07-09

Part A proved the web surface makes no new shapes. Part B asks whether the old shapes are at least still growing. They are not โ€” and the way they fake growth is a lesson in its own right.

๐Ÿ“‹ The Short Version

The obvious next question after a saturation census: fine, no new attack types โ€” but are the known clusters getting bigger? If the Azure shell-checker fleet went from 269 IPs to 466, that is a story.

Except it isn't. 466 is not a bigger fleet. It is the same ~150-node fleet, counted over more days, cycling through disposable IPs. Weekly-active never breaks 150. Eighty-three percent of the fleet's IPs are alive for a single day. The "growth" is an artifact of comparing a cumulative count over 37 days against a baseline cumulative count over 23.

This is a negative result โ€” the recount found no growth โ€” and it makes the steady state deeper than Part A showed: the four shapes are fixed not only in kind but in scale.

Confidence: HIGH. Every number here is a direct measurement of the same corpus, sliced by active-per-period instead of cumulative-distinct.

1. The Trap: 269 โ†’ 466

Here is the number that would make a lazy recount dossier:

SourceWindowCumulative distinct Azure empty-UA IPs
TI-2026-046B (The WordPress Ghosts)Jun 4 โ€“ Jun 27 (23 days)269 (308 empty-UA total)
TI-2026-059B (The Azure Shell Game)Jun 4 โ€“ Jun 30 (27 days)200 (Campaign 126)
This recountJun 3 โ€“ Jul 9 (37 days)466

A 73% jump. Headline writes itself: "Azure shell-checker botnet nearly doubles."

It would be false.

2. The Correction: Weekly-Active Is Flat

Count how many fleet IPs are active in each week instead of summing distinct IPs across the whole window, and the growth disappears:

Week beginningActive empty-UA Azure IPsRequests
2026-06-08616,952
2026-06-156615,951
2026-06-2215023,953
2026-06-2915010,316
2026-07-06 (partial)643,196

The fleet rises to a ~150-node plateau by late June and holds there. It does not climb. Daily-active tells the same story โ€” a noisy band between 20 and 40 nodes, no trend:

Jun17 ##########  20      Jun27 ####################  40
Jun18 ############ 24      Jun28 #################     35
Jun22 ###########  23      Jun29 #################     35
Jun25 ##############29      Jul03 ################      32
Jun26 ##################36  Jul07 ############          25
                            Jul08 #############         26

(The 2026-07-09 reading of 1 is the observation window ending mid-day, not a collapse.)

3. Why the Cumulative Count Lied: 3.1ร— Rotation

The fleet holds ~150 live nodes but burns through 466 distinct addresses across the window because it constantly replaces them. Extend the window and the cumulative number keeps rising โ€” not because the operation grows, but because it rotates. Compare a 37-day cumulative total against a 23-day one and you have manufactured 60% of your "growth" out of nothing but calendar.

The disposability, quantified:

Fleet-IP lifespanValue
IPs active on a single day only386 of 466 (83%)
Median first-to-last-seen span0 days
Mean span0.5 days
Mean requests per IP~131

Eighty-three percent of these addresses exist for one day, fire ~131 requests, and vanish. This is a revolving door of Azure leases, not a swelling botnet.

4. The Whole Surface, Same Shape

It is not only the Azure fleet. Every population examined has the same plateau:

PopulationWeekly-active trajectory (Jun 8 โ†’ Jul 6)
Azure empty-UA fleet61 โ†’ 66 โ†’ 150 โ†’ 150 โ†’ 64
Shell-path hunters61 โ†’ 67 โ†’ 150 โ†’ 150 โ†’ 65
.env / secret harvesters367 โ†’ 129 โ†’ 228 โ†’ 233 โ†’ 76
Total corpus (all IPs)2,083 โ†’ 2,262 โ†’ 2,496 โ†’ 2,712 โ†’ 2,085

Total weekly-active IPs peaked at 2,712 in the June 29 week; weekly request volume peaked in the June 22 week. Both are now flat-to-lower. No cluster in the corpus shows sustained expansion. The surface is not just fixed in the kinds of attack it produces โ€” it is holding steady in volume, delivered by continuous address churn.

5. What This Means

The steady state is deeper than Part A said. 067A showed no new attack shapes. 067B shows the shapes are not even growing. Constant kind, constant scale, constantly-rotating addresses โ€” a genuine equilibrium.

For the growth-watcher. This platform flags dossiered clusters whose size grows past a threshold, to trigger evolution dossiers. This recount is a caution built into the method: if that size is a cumulative distinct-entity count and the current window is longer than the baseline window, rotation alone will trip the threshold. A disposable-IP operation will always look like it is growing when measured cumulatively. Growth must be normalized โ€” active-per-fixed-period, or a trailing window of constant length โ€” before it counts as evolution.

For defense. Nothing changes from the doctrine, and that is the point: individual fleet IPs are disposable (83% one-day) and individually worthless as blocklist entries; the durable signal is the behavior the ~150-node plateau keeps repeating. Score the request, not the address.

A negative result, reported as one. The recount set out to find growth and found rotation. That is not a failed dossier โ€” it is the honest answer to a fair question, and it closes a door (there is no evolution story to tell here right now) so effort can move to where discovery is still live: the OSINT and entity-graph substrates, next.

Investigation Metadata

FieldValue
IDTI-2026-067B
Series๐Ÿ” The Steady State
Date2026-07-09
Window2026-06-03 โ†’ 2026-07-09 (37 days)
Baselines recountedTI-2026-046B (269 IPs), TI-2026-059B (Campaign 126, 200 IPs), TI-2026-059A (925 IPs)
MethodActive-per-period re-measurement vs cumulative-distinct baselines; rotation-ratio and IP-lifespan analysis
ConfidenceHIGH โ€” direct measurement

Cross-references: TI-2026-067A (The Steady State โ€” Four Shapes) ยท TI-2026-046B (The WordPress Ghosts) ยท TI-2026-059B (The Azure Shell Game) ยท TI-2026-059A (The Secret Harvest) ยท TI-2026-066A (Trusted by Default โ€” why disposable IPs defeat reputation).

โš  Personal capacity. Research published independently โ€” not reflecting employer views. Derived from passive observation of attacks against personal infrastructure. Full disclaimer โ†’
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