McKesson Data Breach 2026: Anatomy of a SaaS Exfiltration

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CyberOrbit Team
30 min read
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McKesson has confirmed that an unauthorized party reached certain third-party applications and removed data. On the attacker's own account, that happened between August 21 and August 25, 2026, and moved roughly one terabyte out of applications connected to the largest healthcare distributor in the United States. Four days. No malware described. No perimeter breach described. No vulnerability described at any stage. On that same account, the attackers called employees, talked their way into valid credentials, and logged in.

Hold the numbers loosely and take the mechanism seriously, because the mechanism is the part that transfers to your environment. On that account, this was not a hacking story in the sense most security programs are built to defend against. It is an identity story and a SaaS-permissions story, and those are two things that almost no annual penetration test scope is written to cover. If your program tests the perimeter, patches on a tempo, and passes a SOC 2, you have covered a set of things this chain never had to touch.

The uncomfortable question for anyone running security at a healthcare organization is not "are we patched." It is "if one of our people gets talked out of a session tomorrow, what does that session reach, and how long does it take us to notice."

ℹ️TL;DR
McKesson has confirmed unauthorized access to certain third-party applications and the removal of data affecting a subset of customers in two business units. ShinyHunters claims the rest: that between August 21 and 25, 2026 it used voice phishing to compromise multiple Okta SSO accounts, moved into connected Salesforce and Snowflake environments, exfiltrated roughly one terabyte without exploiting a vulnerability or deploying malware, and holds 284 million records against a $55M demand with a leak deadline of September 1, 2026, which has now passed. We have no information as to what followed that date and make no claim either way. McKesson has confirmed none of those specifics and no independent party has corroborated them. Treat the chain as a well-documented campaign pattern rather than an established account of this incident. Either way the defensive gap is the same one: not the credential theft, but what a valid login was able to do for days after it existed.
ℹ️Currency note: this post reflects the public record as at 16 September 2026
The only confirmed source remains McKesson's Form 8-K. Every other detail below is attacker-supplied and unverified. The September 1, 2026 leak deadline described below was ShinyHunters' own stated deadline, reported at the time, and it has now passed. We have no information as to whether any data was published, and nothing in this post should be read as stating that it was or that it was not. If McKesson files a further or amended disclosure, or a regulator publishes a notification entry, we will update this post and change the date on it.

What Happened at McKesson

McKesson discovered the incident on August 25, 2026, and disclosed it in a Form 8-K filed with the SEC. That filing is the anchor for everything that is actually confirmed, and it is deliberately narrow.

McKesson confirmed that an unauthorized party gained access to "certain third-party applications" and that data was removed from those applications. The company stated that affected data was associated with a subset of customers in its Oncology & Multispecialty and Medical-Surgical business units. SecurityWeek's reporting and BleepingComputer's corroboration both track that framing closely. McKesson said its own core systems were not encrypted and that operations continued.

Everything else circulating is claim-side, and the list is longer than most coverage admits. ShinyHunters claims it exfiltrated 284 million records. It claims one terabyte of data. It claims the August 21 to August 25 window. It claims the entry route was vishing against Okta SSO accounts, and that the destinations were Salesforce and Snowflake. It claims it demanded $55,236,150 with a 72-hour countdown, and after that clock expired, publicly set a September 1 deadline before threatening to publish. McKesson has named none of those vendors, confirmed none of those numbers, and described no attack chain. No independent party has corroborated any of it. Nothing in this post asserts or implies a security defect, vulnerability or product failure in Okta, Salesforce or Snowflake. On the account as given, those platforms did what they were designed to do for a session that authenticated successfully.

That separation is not pedantry, and it cuts against the parts of the story we find most useful as much as the parts we discount. A record count in a leak-site post is a marketing number designed to maximize pressure on the victim, and it frequently counts database rows rather than distinct individuals. But the same caution applies to the terabyte, the four-day window, and the tidy Okta-to-Salesforce-to-Snowflake path: those came from the same interested party, and an attacker has every incentive to describe a chain that sounds sophisticated and inevitable. Treat all of it as unverified until a notification filing or an incident-response report says otherwise.

1TB
claimed by ShinyHunters, over a claimed August 21–25, 2026 window
Attacker-supplied figure, reported by Help Net Security and others. Not confirmed by McKesson and not independently corroborated. The same applies to the separate claim of 284 million records.

So why write about a chain nobody has confirmed? Because the pattern is independently attested even where this incident is not. Health-ISAC documented the same technique against the same sector before McKesson disclosed, which is what makes the mechanism worth your time regardless of which McKesson-specific numbers survive. Four days of sustained bulk export from connected SaaS platforms, using valid sessions, with nothing stopping it, is a scenario your environment either tolerates or does not. Which raises the obvious question: how do valid sessions get there in the first place.

The Attack Chain as Claimed: No Exploit Required

The entry route was the telephone.

The campaign class ShinyHunters has been running through 2026 starts with vishing, voice phishing, aimed at employees and, more productively, at IT help desks. The caller impersonates an internal user or an IT staffer. Domain impersonation supports the call: lookalike domains that mirror the target's SSO login page, staged and registered in advance so the URL passes a glance.

The part that defeats the control most organizations are counting on is the tooling. Modern phishing kits render authentication dialogs in real time, synchronized to the phone call. The caller keeps the target on the line while the kit relays credentials and multi-factor prompts to the real identity provider as they are entered. The target sees a login page that behaves exactly like their login page, because functionally it is their login page with an attacker in the middle. The MFA push arrives from their provider at the moment they expect it, and they approve it. The attacker walks away with a live authenticated session, not a password.

There is a second route, and it matters more than the first because it survives the control most people reach for. Rather than relaying an employee's authentication, the caller targets the help desk directly and asks for a password reset, an MFA factor reset, or a new device enrollment. Health-ISAC describes this as the primary initial-access technique in this campaign class, which is why its lead recommendation is out-of-band verification and a no-same-call policy for resets rather than a factor upgrade. Note what this route does: it does not defeat the authenticator, it replaces it. The attacker is not stealing a credential, the organization is issuing them one.

This is worth distinguishing from the credential-leak problem, because they are usually discussed as one thing and they are not. Previously leaked credentials replayed from infostealer dumps are largely a stale-password problem, and rotation plus MFA genuinely mitigates that half of it, though the same dumps increasingly carry live session cookies that rotation does not touch. A freshly socially-engineered live session is not a password problem at all. There is nothing to rotate, because the attacker holds the artifact that rotation produces.

From there, on the attacker's account, the chain is short. Multiple SSO accounts were compromised, giving the attacker authenticated presence inside the identity provider's trust boundary. From that position, the attacker moved laterally into connected SaaS applications. In this campaign class, the recurring destinations are Salesforce and Snowflake: a CRM holding customer and contact records, and a data warehouse holding whatever the analytics team needed it to hold. Then bulk export, sustained over four days. Then extortion, a deadline, and a threat to publish.

August 21 (claimed)
ShinyHunters says it gained initial access via vishing, compromising multiple Okta SSO accounts through domain-impersonating phone calls
August 21–25 (claimed)
ShinyHunters says it moved into Salesforce and Snowflake and exfiltrated approximately 1TB over four days while sessions remained active
August 25 (confirmed)
McKesson discovers the incident. ShinyHunters says extortion contact began the same day with a 72-hour demand deadline
Late August (confirmed)
McKesson files a Form 8-K with the SEC confirming access to "certain third-party applications" and removal of data affecting subsets of Oncology & Multispecialty and Medical-Surgical customers. It names no vendor and describes no attack chain
September 1 (claimed)
ShinyHunters' self-imposed leak deadline, attached to its claims of 284 million records and a $55,236,150 demand. That date has passed; what followed it is not publicly established and we make no claim about it

Note what is absent from the reported chain. No CVE. No payload. No lateral movement across your network, because the movement happened between cloud tenants that never touched your network. No privilege escalation in the traditional sense, because the identity already had the privileges required. Nothing was broken. The system was used as designed, from an identity it trusted.

Why This Is a Pattern, Not an Incident

This playbook predates McKesson, and its arrival in the sector was not unexpected.

Health-ISAC issued a sector advisory about ShinyHunters vishing campaigns and domain impersonation before the McKesson disclosure, describing this chain specifically: voice calls, lookalike domains, SSO compromise, SaaS data theft. The advisory named the technique, not a vulnerability, because there was no vulnerability to name.

The organizations reported as prior targets in the same campaign class are heavily healthcare and health-tech. Coverage of the Health-ISAC warning describes recent ShinyHunters campaigns as having targeted Medtronic, DentaQuest, iRhythm, One Medical, and AdaptHealth using similar tactics. Read that precisely: targeted with similar tactics, which is not the same as a confirmed breach at any of them, and we make no claim about outcomes at any named organization. What the list establishes is the shape of the target set. That is medtech, dental benefits administration, cardiac monitoring, primary care, and home medical equipment. The common thread is not a shared vendor or a shared stack. It is that all of them hold high-value regulated data behind SaaS applications fronted by SSO.

⚠️Size does not appear to be the selection criterion
The target profile is any organization running SSO in front of a SaaS stack holding regulated data. Reporting on the Health-ISAC warning, published before the McKesson disclosure, described Medtronic, DentaQuest, iRhythm, One Medical, and AdaptHealth as having been targeted with the same tactics. Targeted is not breached: none of those organizations has confirmed an incident arising from it, and we make no claim about outcomes at any of them. If you operate a health-tech or digital-health platform with PHI flowing through Salesforce, Snowflake, or a comparable data warehouse, you fit the profile.

The strategic shift underneath this is worth naming. Huntress's profile of the group tracks its evolution from database theft and resale toward large-scale identity-driven extortion. The move away from ransomware is rational: encryption requires a payload, a payload requires execution on your endpoints, and that is the one thing your EDR is genuinely good at catching. Data extortion via valid SaaS sessions requires none of it. It is faster, quieter, and the tooling generalizes across every victim running the same three or four SaaS platforms, which is nearly everyone.

It is the same group reported to be behind the Oracle PeopleSoft zero-day campaign earlier in the year, which is instructive precisely because the entry route was the opposite. PeopleSoft was an unauthenticated CVE against an exposed administrative endpoint: a patching and exposure problem with a clear technical remedy. The McKesson chain, as described, needed only a valid login. Same actor, same extortion model, same data-theft objective, two entirely different front doors. A program that only hardened against the first one learned the wrong lesson.

Why Your Existing Controls Did Not Cover This

This is the section that determines whether the rest of the post is useful to you, so it is worth being specific rather than gesturing at "defense in depth." Five controls that most healthcare security programs are counting on, and what each one actually did during those four days.

A traditional external penetration test scopes the internet-facing perimeter: open ports, exposed services, unpatched software, misconfigured TLS. In the chain as reported, none of those were the entry point. The attacker session was authenticated and indistinguishable from a valid employee login. There was no perimeter to test. A perimeter test asks "can an unauthenticated stranger get in." This attacker was never unauthenticated.
🚨Phishing-resistant MFA closes the relay, not the enrollment path
Live vishing kits render real authentication dialogs in real time during a phone call. The employee approves a genuine MFA prompt, for an attacker's session. FIDO2/WebAuthn defeats that specific step: the authenticator binds its assertion to the origin that requested it, so a lookalike domain gets nothing it can replay, and push notifications and time-based OTPs offer no equivalent guarantee.

Be careful about how far that protection extends, because vendors routinely oversell it. Origin binding does not help if the attacker never relays an authentication at all. Talk the help desk into enrolling a new authenticator and the attacker holds a legitimate phishing-resistant credential of their own. Leave an OTP or push fallback enabled for recovery and the attacker selects it. Steal a live session token after authentication and the authenticator was never in the path. FIDO2 is the highest-value factor available and worth the migration, but it is the enrollment, recovery, and session-lifetime controls around it that decide whether it holds.

Which leaves the honest question of what testing can and cannot do here.

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The Part No Test Would Have Stopped, and the Part a Test Can Measure

No test makes a workforce unphishable.

A determined, well-resourced vishing campaign, run patiently against a help desk with hundreds of staff and a mandate to be helpful, will eventually succeed. That is not a training failure or a culture failure. It is arithmetic. Any vendor telling you their assessment would have prevented the McKesson breach is selling you something, and you should mark them down for it. CyberOrbit will not make that claim. No assessment makes a workforce immune to a convincing phone call, whoever runs it.

So set the prevention question aside, because it is not fully winnable, and ask the one that is.

The useful question is not "can someone steal a credential from us." Assume yes. Assume it will happen this year. The testable questions are the three that follow it: once one identity is compromised, how far does it reach, how much data can it pull, and how long before anything notices or stops it.

Those are architecture questions, not human questions. Blast radius is a configuration. Export limits are a setting. Detection on anomalous bulk read is a rule that either exists or does not. Every one is deterministic, testable, and fixable, and none depends on whether an employee has a bad Tuesday.

That scope has a name. In the industry it is called an assume-breach engagement: the tester starts with a valid identity you provide, and maps what that identity can do. It is a standard, well-understood engagement type, run by firms that specialise in identity and SaaS testing, and it is a different scope from the external assessment that tests your internet-facing attack surface. Many healthcare organizations have simply never bought it, because the annual pentest was scoped against the perimeter years ago and nobody has revisited the scope statement since.

Pros
  • ✅Maps the SSO blast radius: which SaaS applications a single compromised identity reaches, with what data permissions
  • ✅Identifies OAuth token and connected-app sprawl, meaning the non-human identities that usually sit outside MFA enforcement entirely
  • ✅Tests whether bulk export from SaaS platforms is rate-limited, alerted, or blocked at volume
  • ✅Tests help-desk and identity-recovery processes for verification gaps
  • ✅Validates whether anomalous SaaS read activity generates actionable alerts, not just log lines
Cons
  • ❌Does not make a workforce unphishable. A determined vishing campaign against a large help desk will eventually succeed.
  • ❌Does not replace phishing-resistant MFA (FIDO2/WebAuthn) rollout, which is a configuration decision, not a testing decision
  • ❌Does not substitute for help-desk process redesign; testing reveals the gap, fixing it requires process change
  • ❌Does not include live social engineering against your staff. Pretext calls to a help desk are a distinct engagement type requiring their own written authorisation, and they are not part of an assume-breach scope
Bring the scope question, not a purchase order. Take the scope language above into your next engagement, whoever runs it. If that is us: CyberOrbit enumerates the internet-facing hosts associated with the domains you declare and tests the ones you authorise, with real captured request and response evidence behind every finding, in a report reviewed and signed by a certified security professional. The identity and SaaS blast-radius mapping described above is a different engagement type, run by identity and SaaS specialists and not something CyberOrbit delivers, and we will tell you plainly at scoping which parts of the picture an external assessment covers and which sit outside it.
Scope your external attack surface, not just your IP range

What an Assume-Breach Test Surfaces, Whoever Runs It

Here is what a well-scoped engagement of this type writes down, whoever runs it. These are the five findings worth insisting on when you rewrite the scope statement.

1
SSO blast radius mapping. Document every downstream SaaS application a single compromised Okta or Entra identity reaches, what data it can read, and what actions it can take. The finding this campaign class keeps surfacing: one identity with access to both a CRM and a data warehouse, because someone configured both integrations correctly and separately, and nobody ever drew the combined picture. In a health-tech tenant that combination is usually the difference between a contact list and a PHI-bearing dataset. Blast radius is emergent, which is exactly why it needs a test.
2
OAuth token and connected-app inventory. Identify third-party integrations holding standing API access that has never been reviewed. Non-human identities, meaning service accounts, integrations and automation tokens, typically sit outside MFA enforcement and outside interactive session limits, and refresh tokens frequently outlive the person who authorized them. They are the quiet door, and it is a count worth establishing rather than estimating. In healthcare the sprawl is usually worse, because every payer portal, e-prescribing bridge and analytics vendor added one.
3
Bulk-export and rate-limit testing. Attempt a full object export from each connected SaaS platform using a valid session. Testing against a SaaS platform you do not own is authorised by that provider, not by you, so confirm their testing policy before anything is attempted. Determine whether anything alerts or throttles at volume. The attacker's claimed terabyte over four days is a useful order-of-magnitude reference rather than a verified figure; the question it prompts is whether your environment would have throttled or flagged that volume at all. If an ordinary user session can export every record in a standard object without tripping anything, that is a finding with a specific, high-leverage remediation.
4
Help-desk and identity-recovery process testing. Walk the documented process for a credential reset, an MFA factor reset, and a device enrollment, and determine whether it requires out-of-band confirmation or can be satisfied by information a caller could gather beforehand. This is a process test, not a technology test.
5
Detection and alert validation. Generate the anomalous read pattern, meaning a valid session pulling an unusual volume across business hours, and confirm whether it triggers an alert a human actually sees, or whether it goes into a SIEM log nobody queries. Most organizations have the telemetry. Fewer have the rule. Fewer still have tested that the rule fires and reaches someone on a Saturday.

If whoever runs your identity and SaaS testing cannot tell you which of those five are in scope, that is your answer about the scope. It is worth asking before renewal, not after. Use the questions below to evaluate any provider you engage for that work; it is a separate scope that sits alongside the external assessment, not inside it.

⬜SSO blast radius: does the provider map which SaaS apps each identity reaches?
⬜OAuth/connected-app inventory: are non-human tokens in scope?
⬜Bulk-export limits: does the test validate SaaS rate-limiting and alerting at volume?
⬜Help-desk verification: is identity-recovery process testing included?
⬜SaaS detection validation: does the test confirm alerts fire, not just that rules exist?
⬜Evidence standard: does every finding come with a reproducible, signed evidence package?

If you are rewriting the statement of work anyway, two things are worth doing in the same sitting. Our pentest cost calculator will tell you whether the budget line you have been renewing still matches the scope you now need, and the subdomain finder, run against your own domain, will show you what is exposed on the external side, which is the half of the estate the old scope statement was written for and probably still describes accurately.

Making the Case Internally

If you already agree, the remaining problem is getting it funded. Three arguments that work in healthcare specifically.

Breach notification exposure scales with blast radius. HIPAA notification obligations step up with the number of individuals affected, and the steps are concrete. Under 45 CFR 164.408, a breach affecting fewer than 500 individuals goes into a log reported to HHS annually; at 500 or more, you notify HHS without unreasonable delay and no later than 60 days. Separately, under 164.406, a breach involving more than 500 residents of a single state or jurisdiction requires notice to prominent media serving that state or jurisdiction. That threshold is not a fixed property of your organization. It is a function of how much data one compromised identity could reach, which is exactly what an assume-breach test measures and what segmentation and export limits reduce. Framed that way, this is not a security spending request. It is a quantified reduction in regulatory exposure, and finance understands that shape of argument.

The sector has been formally notified. Health-ISAC published an advisory on this specific chain, naming the technique and the actor, before McKesson disclosed. "We were not aware of this threat" is no longer an available position for a healthcare organization, whether the audience is a board, a regulator, or a plaintiff's counsel. Awareness is now assumed. What gets assessed is what you did after.

Timing. Board attention on a named breach has a half-life measured in weeks. While this one is still recent, the incident is concrete, the sector is named, and "could this happen to us" is already on the agenda. Scope the work while the example is still doing the persuading for you. This is also the natural moment to revisit testing cadence, because an identity and SaaS estate changes far faster than an annual snapshot can track, which is the argument underneath continuous threat exposure management as a program model.

🎯Key Takeaway
The difference between a contained identity compromise and an extortion headline is post-authentication architecture. The credential theft is the sentence everyone reads. The sustained access afterwards is the paragraph that determines the notification count, and it is the part that is testable, measurable, and fixable before the next call comes in.

The Bottom Line

Go back to the four days, and hold them as the attacker's account rather than an established one, because the argument does not need them to be exact.

The vishing call is the part everyone is discussing, and it is the part that is hardest to prevent. You can move to phishing-resistant MFA, you can harden help-desk verification, you can train continuously, and a sufficiently determined caller will still get through eventually. That is the honest position.

The dwell time is a different kind of problem. Days of unimpeded bulk export from connected SaaS applications, using a single set of valid sessions, is not bad luck. It is an architecture that permits it, and an architecture is something you designed, which means it is something you can test and change. One identity reaching both a CRM and a data warehouse is a configuration. An export with no volume ceiling is a setting. Bulk reads that alert nobody is a missing rule.

Whatever the final numbers turn out to be, this was not the story of a break-in. It was the story of what a valid login was allowed to do once it existed. Find out what yours is allowed to do before somebody else does.

You set the external targets, CyberOrbit's platform scopes and runs the assessment, and a certified security professional reviews and signs the report you select. That is the external scope. The identity and SaaS blast-radius testing described above is a different engagement type, run by identity and SaaS specialists, and it is not something CyberOrbit delivers. Independent, because the questionnaire asks for a third-party test and your own tooling does not answer that question. Evidence-backed, with real request and response captures, reproduction steps and proof hashes behind every finding, so a reviewer can verify each one independently rather than take a CVSS score on trust. Standard external engagements are delivered within 48 hours of scope sign-off. Compliance cross-referencing to SOC 2, HIPAA and ISO 27001 is a separate feature of our Scale and Enterprise subscription tiers; it is not included in the on-demand engagement or in Pro, so ask us which tier covers the framework you are being audited against.
Get an independent, signed test of the external scope you declare

This post is general information about security testing practice, not legal or compliance advice. Breach-notification obligations turn on facts specific to your organization; take them to your own counsel or privacy officer.

Frequently Asked Questions

What happened in the McKesson data breach?
McKesson discovered unauthorized access on August 25, 2026, and disclosed it in a Form 8-K filed with the SEC. The company confirmed that an unauthorized party accessed certain third-party applications and removed data associated with a subset of customers in its Oncology & Multispecialty and Medical-Surgical business units. That is the confirmed record, and it names no vendor and describes no attack chain. ShinyHunters separately claims the August 21 to August 25 window, roughly one terabyte of data, 284 million records, a $55.2 million demand, and an entry route through vishing against Okta SSO accounts leading to Salesforce and Snowflake. McKesson has confirmed none of that and no independent party has corroborated it.
How does ShinyHunters claim it breached McKesson without exploiting a vulnerability?
The chain as the attacker describes it, and as Health-ISAC documents for this campaign class, begins with vishing: voice phishing calls targeting employees and IT help desk staff, supported by lookalike domains mimicking the organization's SSO login page. Two variants matter. In the first, live phishing kits render authentication dialogs in real time during the call, relaying credentials and MFA prompts to the genuine identity provider as the target enters them, which yields a live authenticated session rather than a password. In the second, which Health-ISAC describes as the primary route, the caller persuades the help desk to reset a password or MFA factor or enroll a new device, so the organization issues the attacker a working credential. From there the attacker uses SSO access to reach connected SaaS applications and performs bulk exports. No CVE, no malware, and no perimeter exploitation at any stage. Note that this account of McKesson specifically is attacker-supplied and unconfirmed by the company.
Does MFA protect against the vishing attacks claimed in the McKesson breach?
Push-based and OTP-based MFA do not reliably protect against it. A live phishing kit relays the MFA challenge to the real identity provider while the attacker keeps the target on the phone, so the user approves a prompt that looks and behaves exactly as expected. Phishing-resistant MFA, specifically FIDO2 and WebAuthn credentials, defeats that relay, because the authenticator binds its assertion to the origin that requested it and will not produce a valid assertion for a lookalike site.

It is not a complete answer to this threat class, and it is worth knowing why before you present it to a board as one. The same campaign frequently bypasses the factor entirely by persuading a help desk to reset it or enroll a new device, in which case the attacker ends up holding a legitimate phishing-resistant credential. A fallback factor left enabled for account recovery is the one an attacker will choose. And a session token stolen after a successful authentication never involves the authenticator at all. Migrating privileged accounts, IT and help-desk staff to phishing-resistant factors is the highest-value single preventive control here, but it only holds if enrollment and recovery paths require out-of-band verification and fallback factors are actually disabled.

What is an assume-breach penetration test?
An assume-breach penetration test starts from the premise that an attacker already holds a valid credential or session, rather than trying to establish whether one can be obtained. The tester is provided with an identity at a defined privilege level and then maps what that identity can reach, what data it can extract, and what detection fires along the way. It answers blast radius, data access, and detection questions rather than perimeter-exploitability questions, which makes it the appropriate scope for identity-driven and SaaS-driven threats where no vulnerability is exploited.
How is SaaS and SSO blast radius tested in a penetration test?
This is a specialist identity and SaaS scope, distinct from external perimeter testing and not something CyberOrbit delivers. The engagement enumerates every downstream application a given identity reaches through the identity provider, and the data scope available within each. It inventories OAuth grants and connected applications holding standing API access, including non-human identities that typically sit outside MFA enforcement and outside interactive session limits. It then tests operational boundaries: whether a valid session can execute a full object export, whether rate limits or volume thresholds intervene, and whether anomalous bulk read generates an alert that reaches a human. Help-desk identity recovery is examined as a documented process, by walking the credential-reset and device-enrollment procedures and recording where out-of-band verification is required and where it is discretionary. Testing that process by calling the help desk under a pretext is social engineering, a separate engagement type that requires its own written authorisation and should never be assumed to sit inside a standard scope.
What should healthcare organizations do after the McKesson breach?
Four steps. Migrate privileged users, IT staff, and help-desk personnel to phishing-resistant MFA. Require out-of-band verification for all credential resets and device enrollments, and test that it holds under pressure. Audit OAuth grants and connected applications across your SaaS tenants and revoke standing access nobody can justify. Then add your SSO and SaaS estate to your testing scope as an assume-breach engagement, a separate scope from external perimeter testing and run by identity and SaaS specialists, so you have a measured answer to how far one compromised identity reaches, how much it can extract, and how quickly anything notices.

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