Preview surface — demo data. Where real data exists today (e.g. RealT, BlackRock BUIDL, Lift Dollar) we render it; everywhere else we render synthetic enrichment generated deterministically from public signal and clearly marked Demo or Inferred. The Phase 3 roadmap replaces every synthetic source with live ingestion — see Methodology → Exposure Graph & Similarity Engine.
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rug pull softDemo

Apr 22, 2022 · $164.9K · social

Narrative

On 2022-04-22, Aptos Foundation suffered a rug pull soft incident resulting in approximately $164,857 in losses. The exploit targeted the social layer. Attribution: mev_searcher. This is a demonstration entry — not a real incident.

Classification

Root cause
rug_pull_soft
Secondary causes
rug_pull_hard
Attack layer
social
Strategy
internal_theft
Actor role
perpetrator
Attribution
mev_searcher
Attacker address
0x1b32d7cca62ea0dc4d4ea949da82a12c2b80fc7b
Flash loan
no
Audited at time
no
Bounty at time
no

AADAPT mappings

DEMO:AADAPT.TA0040DEMO:AADAPT.T1657

Evidence

Disclosure date
Apr 24, 2022
Funds recovered
Audit firms at time
Post-mortem URLs (synthetic)
  • https://medium.com/aptos-foundation/post-mortem-aptos-foundation-2022-04-22
  • https://rekt.news/aptos-foundation-rekt
tx hashes (4)
  • 0xc151f30842d72413b7484c8f9852bd99598e784dd36c6863b8833394773f76e1
  • 0x2f117e189b2c3b7da666f875c135a8232753240eae740bb5e9f7e9c38d69063f
  • 0x88fca28657164ca2cc0978954bd00fe73a9fed9f5d2fb5ce72de81682b20286f
  • 0x6b3147dca95b83e42985bb5b160b580b3e3defb3e0943880be13789e2eca296b