When Hackers Stopped Attacking Code and Started Attacking People: Why $3.4B in 2025 Will Recast Crypto Security as Psychology, Not Software

13 min read
When Hackers Stopped Attacking Code and Started Attacking People: Why $3.4B in 2025 Will Recast Crypto Security as Psychology, Not Software

This article was written by the Augury Times






How $3.4B in 2025 Tore the Plausible Deniability Out of Crypto Security

2025 closed on a grim tally: roughly $3.4 billion siphoned out of cryptocurrency systems in thefts that had almost nothing to do with exploitable smart contracts. The common thread across the biggest losses was not a buggy oracle or a reentrancy flaw; it was social engineering — a set of human-targeted tricks, deception campaigns and operational compromises that turned people into the weakest link.

One vector should matter to investors and founders above all: a pattern traced to a major exchange’s customer-support and account-recovery processes. Attackers impersonated users, crafted believable histories, and manipulated support staff into executing transfers or resetting controls. Bybit’s name has been associated with some of these tactics in public reporting and whispers inside the industry; whether it’s a single vendor or a broader procedural gap, the result is the same: large, concentrated pools of assets that are legally and operationally accessible through human workflows.

The thesis is blunt: security in crypto is migrating from code to psychology. Traditional developer-focused defenses — audits, static analyzers, formal verification — remain necessary, but they are now insufficient. The urgent battles are about persuasion, identity, and institutional processes. That shift ripples beyond incident headlines into four lesser-noticed second-order threads that should shape portfolio construction and product strategy:

  • Insurance pricing will rise and underwriters will rework triggers and exclusions to reflect the human layer.
  • Custody will concentrate as large, regulated custodians win by offering defensible, people-resistant workflows.
  • Identity infrastructure — verified, hard-to-forge proofs of personhood and robust account provenance — will begin to look like a new asset class.
  • UX-versus-security trade-offs will reshape on‑ramps: easier user journeys will often mean higher attack surface unless rethought at the product level.

Investors, founders, and operators need to reorient how they measure security. Track psychology-driven signals, price the new risk premiums into token economics, and recalibrate go-to-market plays that rely on frictionless onboarding. The rest of this piece maps the fallout to markets, vendors, regulation and practical tactics — with a tight decision framework at the end to convert analysis into choices.

Why Social-Engineering Heists Are a Market Event: From Exchange Runs to Repriced Liquidity

When a social-engineering heist hits, the first market reaction is not a smart-contract exploit alert — it’s a liquidity event. Users panic, withdrawal queues form, and exchanges that can’t immediately demonstrate cold-reserve integrity face runs. Those runs cascade: market makers widen spreads, capital for margin and lending tightens, and thinly traded tokens get slammed as stop-losses cascade.

Two immediate valuation effects follow. First, platforms and projects that rely on centralized custody or have concentrated treasuries suddenly trade at a discount relative to their nominal reserves. Investors begin to apply an “exchange risk premium” — a haircut for how much of an on-chain balance is practically immovable under social duress. Second, custody-heavy tokens and tokenized assets suffer differentiated hits: liquid blue-chips with diverse custody paths and transparent reserves hold up better than small-cap DeFi projects with single-vendor signing setups or opaque multisig arrangements.

Insurance markets will tighten faster than many expect. Underwriters hate ambiguity; social-engineering losses have messy indemnity boundaries. Policies written for theft caused by coding failures don’t always cover fraudulent instruction obtained via impersonation. Expect insurers to rewrite policy language, carve out social-engineering exclusions, or demand stricter controls (multi-party approval flows, out-of-band verification, hardware key attestations) before offering capacity. The practical result is higher premiums and narrower coverage — a security tax for projects and exchanges that now show up in token economics and fundraising terms.

Capital flows will also reallocate within custody categories. Hot-to-cold migrations accelerate: funds move larger proportions of holdings into deep cold storage and regulated custodians who can show procedural defenses. That benefits well-capitalized custodians — both regulated banks offering crypto services and the new class of institutional custodians — increasing custody concentration. But concentration brings fragility: if a small set of custodians becomes de facto backbone providers, an operational failure or regulatory clampdown at one of them would create systemic disruption.

Where will volatility and correlation fracturing appear? Watch the divergence of returns and realized volatility between small-cap DeFi tokens and large-cap exchange-native tokens. Small protocols with centralized signers or single points of human interaction will see larger drawdowns and sustained bid-ask deterioration. In contrast, blue-chip tokens with diversified custody and transparent reserve disclosures will decouple and behave more like safe-harbor assets inside crypto portfolios.

Investor signals worth monitoring in real time:

  • On-chain outflows from major exchanges and large wallets: sudden, unexplained drain is often a precursor to public panic.
  • Exchange reserve disclosures and proof-of-reserves cadence: less frequent or more opaque proofs should carry a price penalty.
  • Rising cyber-insurance premiums and policy language changes: when insurers require HSM-backed signing and multi-person approvals, costs will flow into operating budgets and tokenomics.
  • Market-making spreads on newly listed tokens: widening spreads reflect perceived counterparty and custody risk.

Trading angle: For active investors, the short window after a social-engineering disclosure is where mispricing appears. Sell pressure often overshoots on small-cap, custody-exposed tokens; conversely, buying selectively into blue chips after the panic, once liquidity normalizes, can net attractive entry points. But be mindful: volatility is structural here, not purely sentiment-driven — the risk premium is real and will persist until underwriting capacity and identity controls improve.

From NPM to HSMs: The Hidden Vendor Bets and New Monopolies Born from Social-Engineering Risk

Social engineering isn’t just a product problem — it creates a new vendor landscape. Map the attack surface and the commercial winners and losers become clearer: the developer ecosystem (package managers, CI/CD, cloud secrets), signing infrastructure (HSMs, KMS), identity platforms (biometric and behavioral proofs), customer support tooling, and anomaly-detection startups using AI to flag suspicious flows.

At the developer layer, weak CI/CD processes and leaked secrets remain easy entry points. Package managers like NPM and PyPI are familiar supply-chain risks; now, human workflows that authorize releases — the Slack approvals, the email signoffs — are being weaponized. Expect hardened CI pipelines, immutable release artifacts, and package-signing services to become standard procurement line items. Firms that provide easy-to-integrate artifact signing and enforceable release provenance will be in high demand.

Hardware-backed signing is an obvious commercial opportunity. HSM-as-a-service and cloud KMS offerings will boom, especially those able to provide attestation of key provenance and multi-party approval flows. But there’s a trap: centralized HSM providers can create new monopoly risks. If a handful of cloud providers become both the cryptographic root-of-trust and the custodians of signing logic, the industry trades one central point of failure for another. Investors should be wary of vendors that offer frictionless key custody without strong guarantees against legal or operational seizure.

Identity primitives — solutions that reliably prove that a human on the other end of a support call or a signed transaction is who they claim to be — are becoming investible infrastructure. Proof-of-personhood, decentralized identifiers (DIDs), and authenticated account provenance will attract capital. But the design space is fraught: overzealous identity requirements create privacy and access problems, while weak proofs become another toy for attackers. The highest commercial upside goes to players who combine strong cryptographic attestation with minimal user friction.

AI-driven anomaly detection startups will proliferate. Behavioral analytics that correlate login patterns, transaction flows, and customer-support transcripts can flag likely social-engineering attempts before they complete. These vendors will sell to exchanges, custodians and large token projects. However, these systems can generate false positives that throttle legitimate activity and create customer friction; the vendors that solve for high precision and clear remediation playbooks will win.

Vendor lock-in and the centralization risk merit special attention. Companies that sell end-to-end security stacks — identity, HSM, CI signing and anomaly detection — will promise convenience but also create opaque dependencies. Founders should demand portability guarantees, open standards for signed artifacts, and the ability to auditable-restore keys without vendor intervention. Investors should prize companies that architect for survivability rather than proprietary control.

Finally, second-order business risks: strong security is good for long-term trust, but it slows growth. Heavier onboarding, mandatory hardware keys, and multi-step treasury controls will raise customer acquisition costs and reduce conversion. The tension between product velocity and human-resistant security will shape winners. Companies that can square that circle — strong defenses with elegant UX — will command multiple expansions. Those that pick the wrong trade-offs will either be growth stories that get hacked or secure companies that never scale.

A No-Nonsense Checklist: What Retails, Funds and Exchanges Should Do Today to Stop Getting Scammed

Actions matter more than theory. Below are prioritized, pragmatic controls tailored to three audiences: retail holders, token funds/treasuries, and exchange/operator teams. Each list balances cost and impact and includes fast red flags for triage.

Retail holders — easy wins that radically lower your social-engineering exposure

  • Use hardware wallets for meaningful holdings. If you hold > 3 months’ worth of discretionary crypto, hardware custody reduces remote account-takeover risk. Keep your seed offline and physically secure.
  • Enable and enforce multi-factor authentication that resists SIM swaps. Prefer app-based authenticators and hardware security keys for exchanges and email. Avoid SMS MFA for high-value accounts.
  • Harden your email — the chief pivot point for account recovery. Use a separate, well-secured email for exchanges and which is not listed publicly. Consider a recovery plan that doesn’t center on social channels.
  • Split wallet strategy: keep transit funds on exchanges for trading, larger balances in cold storage, and routinely rotate portion sizes to deny attackers a single high-value target.
  • Behavioral nudge: treat customer support as an attack surface. Never approve transfers or reset requests over public social media threads or chats; demand clear out-of-band proofs and escalate to known channels.

Quick red flags: unprompted calls claiming to be exchange staff, requests to approve out-of-band transactions, and unexpected password reset emails that arrive in clusters.

Token funds and treasuries — operational controls that scale

  • Adopt split custody with independent custodians and mandate multi-party signing with geographically and institutionally diverse signers.
  • Key rotation cadence: rotate high-privilege keys quarterly or on any personnel change. Maintain well-documented rotation procedures that include cold-key backups in legally defensible storage.
  • Dev environment isolation: production signing keys must never be accessible from CI or developer laptops. Enforce least privilege and ephemeral credentials for build systems.
  • Bring-your-own-key (BYOK) and attestations: require HSM-attested keys and insist on signed transaction proofs when working with service providers.
  • Rehearse tabletop incidents and define clear escalation matrices. A dry run of “compromised signer” scenarios is cheaper than recovery after real theft.

Quick red flags: requests for emergency access from unknown internal identities, sudden changes to approval policies, and frequent customer-support overrides bypassing documented processes.

Exchanges, custodians and infra operators — process redesign not just more tools

  • Lock down customer-support flows: implement strict verification that includes provable ownership artifacts (transaction history patterns, signed challenges), not just KYC face matches.
  • Move critical operations to time-delayed multi-party workflows with human-in-the-loop verification and automated anomaly checks.
  • Instrument and log all account recovery steps and make those logs immutable and auditable to reduce fraud incentives.
  • Provide and require hardware-backed signing for large withdrawals, and implement mandatory cooling-off periods for high-value transfer requests with whistleblower channels for staff.
  • Invest in behavior analytics and cross-channel defense teams that monitor phishing campaigns, impersonation attempts and organized social-engineering activity.

Quick red flags: sudden spikes in support ticket activity, repeated reset attempts for a small set of accounts, and coordinated social media impersonation campaigns ahead of withdrawal surges.

UX vs security trade-offs: Accept that some security measures will raise friction and cost. The right framing is not “avoid friction” but “choose friction that meaningfully reduces existential risk.” For most firms, a targeted approach — low-friction paths for small-value actions and stricter controls for large-value operations — minimizes customer loss without freezing growth.

Regulators, Insurers and the New Crypto Security Tax: Where Policy Will Push Capital Next

Regulators are already circling. The political reaction to high-profile thefts is predictable: calls for mandatory custody standards, clearer audit and proof-of-reserves requirements, and stronger KYC and provenance checks for founders and custody operators. These moves will tilt markets.

Expect a few concrete regulatory shifts within 12–24 months:

  • Custody standards that require demonstrable, auditable separation of signing keys and operational staff, plus HSM attestation for high-value custody classes.
  • Mandatory incident reporting windows and minimum information disclosure to markets, increasing operational transparency but also raising compliance costs.
  • Stronger identity requirements for founders and key personnel when raising capital or listing tokens, potentially entangling proof-of-personhood with access to public capital markets.

These interventions will realign capital flows. Regulators tend to favor regulated, KYC‑first custodians. That will advantage incumbents and licensed players that can absorb compliance costs and disadvantage anonymous, decentralized solutions unless they can demonstrate traced, auditable controls.

Insurance markets will reprice and restrict capacity. Underwriters will demand clearer definitional language about social-engineering triggers. Many losses in 2025 showed that policies written before this wave didn’t contemplate human-driven fraud. Underwriters will respond by:

  • Adding explicit social-engineering exclusions unless specific controls are in place.
  • Requiring proof of HSM-backed signing, split custody, and demonstrable account-recovery controls for large policies.
  • Increasing premiums and raising retentions for high-risk clients, which will change how projects price token releases and treasury management.

From an investment perspective, where will capital land?

  • Security tooling vendors that can show measurable reduction in social-engineering risk: identity primitives, HSM/KMS providers, anomaly detection and CI/CD signing solutions.
  • Regulated custodians and security-first infrastructure firms that pass future regulatory standards without major rework.
  • Cyber-insurance underwriters and reinsurers who move early into crypto, though expect them to be highly selective and to charge premiums that make coverage expensive for smaller projects.

Indicators to watch as leading signals of market movement: regulatory guidance documents on custody, new insurance policy templates with social-engineering clauses, the migration of institutional flows to licensed custodians, and the emergence of interoperable identity standards adopted by exchanges and custodians.

A 90/180/365 Decision Playbook: When to Hedge, When to Buy, and How to Run an Incident

Investors and founders need a prioritized calendar of moves. The next year will be about triage, then platform strengthening, then strategic positioning. Below is a tight roadmap designed for funds and founders who want to convert this analysis into action.

First 90 days — triage and rapid hardening

  • Audit treasury controls immediately. Identify single points of human failure and implement split custody for all balances above a pre-set threshold.
  • Implement mandatory hardware-backed signing for all high-value transfers and require multi-party approvals with time delays.
  • Suspend any ad-hoc customer-support procedures that allow out-of-band transfer approvals. Replace with documented, auditable flows.
  • Buy contingent coverage where available and feasible. Even partial insurance reduces downside volatility and signals seriousness to partners and investors.
  • Run a tabletop incident: simulate compromised support staff, called-in resets and forged identity claims; document gaps and assign owners.

90–180 days — structural defenses and vendor bets

  • Move signing to HSM-backed providers with attestation. Insist on BYOK options and exportable attestable keys for portability.
  • Lock down CI/CD and package release flows: artifact signing, immutability of release artifacts, and strict role separation for deploys.
  • Invest in identity primitives — DIDs, signed provenance, or proof-of-personhood — for high-risk support and treasury flows.
  • Negotiate insurance terms tied to demonstrable controls; use policy requirements as product roadmaps for security improvements.
  • Start measuring and publishing internal metrics: mean time to detect suspicious support activity, percentage of high-value transfers under multi-party control, etc. Transparency reduces counterparty fear.

180–365 days — strategic positioning and optionality

  • Evaluate custody partners with an eye toward regulatory survivability. Prefer providers with clear separation of duties, audit trails and jurisdictional resilience.
  • Consider participation in interoperable identity networks — early movers can influence standards and lock in customer flows.
  • Design token economics that internalize higher security costs. Expect insurance and custody premiums to be a line item in budget models and token sale math.
  • Build redundancy into vendors: dual HSM providers, separate KMS regions, and contractual exit terms to avoid being hostage to a single provider.

Incident response one-page checklist for funds

  • Immediate steps: freeze trading for affected assets, suspend withdrawal gates, inform counterparties and activate legal counsel.
  • Containment: isolate affected keys, engage HSM attestation logs, and rotate unaffected keys to prevent lateral spread.
  • Communication: issue a short, factual notice to stakeholders; avoid speculation. Provide a timeline for next updates.
  • Recovery: work with custodians, insurance brokers and forensic teams. If reconstitution is required, use pre-authorized emergency flows defined in governance documents.
  • Post-mortem: publish a clear, actionable post-incident report that includes root cause, controls failed, and remediation steps taken.

Final provocations: the industry must avoid trading one systemic risk for another. Creating monopolies of trust — single HSM providers, single identity authorities, or a tiny group of custodians — may feel like a shortcut to safety but embeds fragility. The right path is diverse, auditable infrastructure with portable keys, open attestation standards, and insurance markets that reward measurable defenses.

For investors: prioritize companies that can demonstrate both measurable reductions in human attack surface and credible paths to scale without locking clients into opaque ecosystems. For founders: accept short-term friction if it prevents existential loss — product velocity is worthless without survivability. And for operators: redesign the human workflows that give attackers their entry points; the cheapest controls are often procedural and free.

The $3.4 billion number is a wake-up call. Crypto’s next security frontier is not better compilers or prettier audits — it’s how well systems resist deception. That will determine winners, losers, and where capital flows in the next market cycle.

Sources

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