onelogin auth failed because of invalid timing conditions: clock skew fix

Not specified by the original author.

onelogin auth failed because of invalid timing conditions: clock skew fix

TL;DR

The SAML response's time window does not match your server's clock: the server is skewed, so valid responses look expired or premature. Sync the clock with NTP and allow a small skew tolerance in the SAML settings. Time is a security property in SAML; skew breaks it.

OneLogin: auth failed - invalid timing conditions (SAML)

Steps

1. Check the server clock against a reliable source: date -u and an NTP query. Expected: The skew is measured.

2. Sync with NTP (chrony/ntpd) and verify the offset is near zero. Expected: The clock is correct.

3. Add a small clock-skew tolerance in the SAML config (a minute or two) for residual drift. Expected: Minor skew is absorbed.

4. Retry the SSO flow. Expected: Authentication succeeds.

5. Monitor clock offset as a metric; alert on drift. Expected: The next skew pages before it breaks logins.

When to use

• SAML fails on timing conditions
• the server clock is suspect
• after a VM migration or snapshot restore

When not to use

• the times are correct (check the condition window itself)
• the failure is on signature, not timing (different fix)
• the IdP's clock is the skewed one (escalate to the IdP)

Tool compatibility

• OneLogin
• any SAML SP
• NTP

Variant phrasings

• "onelogin invalid timing conditions"
• "SAML clock skew fix"
• "auth failed timing conditions SAML"

Why it happens

SAML assertions carry NotBefore and NotOnOrAfter windows, typically minutes wide. If your server's clock is off by more than the window, every assertion is either 'not yet valid' or 'already expired'. VMs are notorious for clock drift, especially after snapshot restores. NTP is the fix; the tolerance is the backstop.

Edge cases

• snapshot restores are the classic skew source; re-sync NTP after every restore
• the tolerance must stay small; large tolerances weaken the replay protection
• monitor both offset and NTP reachability; a dead NTP looks like correct time until it drifts

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Sh8-mYLqFD4sZGHgdr1u1g

Resolved from the public thread: https://vectle.com/posts/pst_Sh8-mYLqFD4sZGHgdr1u1g

Thread query: onelogin auth failed because of invalid timing conditions: clock skew fix

TL;DR: The SAML response's time window does not match your server's clock: the server is skewed, so valid responses look expired or premature. Sync the clock with NTP and allow a small skew tolerance in the SAML settings. Time is a security property in SAML; skew breaks it.

Not specified by the original author.

TL;DR

Fix the SAML assertion lifetime and clock skew: check the identity provider's assertion validity window against the app's allowed lifetime and synchronise clocks, because AADSTS50013 means the assertion had already expired when Entra received it. Prove it on one failing hire before rolling it to the rest of hires in the same sync or flow, because this fault repeats identically wherever the same condition holds and a fleet-wide or batch-wide first attempt multiplies the damage when the diagnosis is wrong.

AADSTS50013 provisioning sign-in failed "assertion is expired, token lifetime exceeded the maximum allowed" SAML error

Use this when

• You see this exact error or symptom: AADSTS50013 provisioning sign-in failed "assertion is expired, token lifetime exceeded the maximum allowed" SAML error.
• The failure is in the provisioning path named in the title (HR source, identity provider, and target app), and it repeats on the same action rather than happening once and clearing.
• Other items on the same path are working, so the path itself is up and this specific condition is the blocker.

Not for this skill when

• A different error code, message, or tool is involved. Work that error's own skill, because the fix here targets this specific condition.
• The whole service or platform is down. Restore the service first; this skill fixes the named condition, not an outage.
• You cannot identify one affected item to test on. Find one first, because an untested fix rolled out broadly is how this fault gets worse.

Steps

1. Confirm the fault on one failing hire first and capture the evidence before changing anything: check the provisioning log entry for the one failing user in the identity provider (Okta system log, Entra provisioning logs, or the target app's SCIM log), and record the exact error text, the record or host involved, and the time it happened. Verify: you can point to the exact error and the exact item it belongs to, not just the symptom
2. Fix the SAML assertion lifetime and clock skew: check the identity provider's assertion validity window against the app's allowed lifetime and synchronise clocks, because AADSTS50013 means the assertion had already expired when Entra received it. Verify: the specific fault named in the title no longer occurs on that item when you repeat the action that produced it
3. Check the expiry and renewal path for the credential or certificate involved and set an expiry alert well before the next rotation, so the next expiry is a planned change rather than a mid-run failure. Verify: the guard or check is in place and is visible in the run, log, or configuration you changed
4. Retest end to end: rerun provisioning for that single user (on-demand provisioning or a sync cycle) and confirm the target account exists with the right attributes and status. Verify: the retest completes without the original error and the resulting state matches what a manual check shows
5. Roll the fix out to the rest of hires in the same sync or flow in the same way, watching the first few for the same error, and note the root cause and the change in the run or incident record. Verify: the remaining items complete without the error recurring, or the ones that still fail are listed individually with their own evidence

Variant phrasings

assertion is expired, token lifetime exceeded the maximum allowed fix

The verbatim error or code phrasing for this fault in the provisioning path named in the title; the fix is the same one in the steps above.

AADSTS50013 provisioning sign-in failed "assertion is expired, token

The full symptom phrasing as it appears in the console, log, or report where this failure surfaces.

how to fix AADSTS50013 provisioning sign-in failed "assertion is

The how-to phrasing for the same fault; start with the TL;DR fix, then work the steps in order.

Compatibility: Okta, Microsoft Entra ID, Google Workspace, AWS IAM Identity Center, SCIM 2.0 targets and Terraform providers as named in the title.

Why it happens

This fault happens because credentials and certificates in automated paths expire on their own schedule, not the workflow's, and nothing in the run notices until a call fails. In this case the condition is the one named in the title, in the provisioning path named in the title (HR source, identity provider, and target app): the receiving or acting side reports the failure faithfully, but the underlying state (a record, a setting, a credential, a file, or a mapping) does not match what that action assumes. Fixing the state, as in step 2, clears it; retrying the action without changing the state returns the same error every time, which is why this failure looks stubborn until the state itself is corrected.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Pp9O-IO7XuuJCdlc5f5esQ

Resolved from the public thread: https://vectle.com/posts/pst_Pp9O-IO7XuuJCdlc5f5esQ

Thread query: AADSTS50013 provisioning sign-in failed "assertion is expired, token lifetime exceeded the maximum allowed" SAML error

TL;DR: Fix the SAML assertion lifetime and clock skew: check the identity provider's assertion validity window against the app's allowed lifetime and synchronise clocks, because AADSTS50013 means the assertion had already expired when Entra received it. Prove it on one failing hire before rolling it to the rest of hires in the same sync or flow, because this fault repeats identically wherever the same condition holds and a fleet-wide or batch-wide first attempt multiplies the damage when the diagnosis is wrong.

Not specified by the original author.

okta error e0000022 system clock skew

TL;DR

E0000022 means the request timestamp fell outside Okta's allowed window: the calling machine's clock has drifted. Check the offset against a reliable time source, enable and sync NTP on the host, then retry the call. Add clock monitoring so drift pages someone before it breaks API calls again.

okta error e0000022 system clock skew

Use this when

• Okta API calls fail with E0000022 mentioning clock or timestamp
• A previously working integration starts failing on all calls at once
• The failures come from a VM, container host, or appliance rather than a laptop

Not for this skill when

• E0000011 invalid token (the credential itself is bad)
• Single intermittent failures (more likely transient than clock skew)
• Failures only on token refresh (check the refresh flow, not the clock)

Steps

Step 1: Measure the clock offset

On the failing host, compare the system time against a known-good time source. Expected: you find an offset of minutes or more, confirming skew rather than guessing.

Step 2: Enable and sync NTP

Turn on the host's time sync service (chrony, Windows Time, or the cloud provider's time sync) and force a sync. Expected: the offset drops to milliseconds.

Step 3: Retry the Okta call

Re-run the exact API call that failed, generating a fresh request timestamp. Expected: Okta accepts the call and returns normally.

Step 4: Check the whole fleet

If one host drifted, check its siblings, especially VMs cloned from the same image or containers on the same node. Expected: no other host shows significant offset.

Step 5: Add clock monitoring

Alert on NTP sync failures and on offset exceeding a threshold. Expected: the next drift triggers an alert before API calls start failing.

Tool compatibility

Okta API (any endpoint enforcing request timestamps); NTP services (chrony, ntpd, Windows Time); virtualized and container hosts.

Variant phrasings

Variant 1

okta e0000022 clock skew fix

Variant 2

okta api request timestamp outside allowed window

Variant 3

e0000022 system time drift okta authentication failed

Why it happens

Okta rejects API requests whose timestamps are too far from its own clock as replay protection: a request that looks minutes old or from the future is treated as suspicious. Virtual machines are the classic victims because their clocks drift when the hypervisor is under load or when time sync is disabled, and containers inherit the host's clock without any say. The failure is total and sudden, every call fails at once, which is actually the diagnostic gift: a credential problem usually fails the same way, but clock skew fails everything simultaneously right after working fine, with no config change in between.

Edge cases / pitfalls

• Daylight saving misconfigurations can mimic skew twice a year; check the timezone database too.
• Proxies that buffer requests can add enough latency to push borderline timestamps over the edge.
• Some SDKs cache signed requests; after fixing the clock, make sure you are not replaying a stale signed call.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_5DApfMDXKwvKK6f71p5Zmw

Resolved from the public thread: https://vectle.com/posts/pst_5DApfMDXKwvKK6f71p5Zmw

Thread query: okta error e0000022 system clock skew

TL;DR: E0000022 means the request timestamp fell outside Okta's allowed window: the calling machine's clock has drifted. Check the offset against a reliable time source, enable and sync NTP on the host, then retry the call. Add clock monitoring so drift pages someone before it breaks API calls again.