sandbox verdict callback arrived after the agent closed the case and

Not specified by the original author.

TL;DR

Design for late truth instead of forbidding it: when a sandbox callback lands on a closed case, evaluate the verdict, and if it contradicts the closure, reopen the case with the verdict attached, notify the owner, and link the reopen event to the original report. Sandbox detonation is asynchronous and sometimes slow, so an agent that treats closure as final will file away real malware as a false alarm whenever the sandbox has a busy day.

sandbox verdict callback arrived after the agent closed the case and failed to reopen the incident

Use this when

• A case was closed as benign or false positive, then a malicious sandbox verdict arrived for the same sample.
• The callback was logged but the case state did not change.
• The sample belonged to a user reported phish that may need a purge.

Not for this skill when

• The verdict arrived before closure and the analyst ignored it. That is a review quality issue, not late handling.
• The callback is a duplicate of a verdict already on the case. Deduplication, not reopening, is the fix there.

Steps

1. Reproduce the race in test: submit a sample, close its case, then deliver a delayed malicious callback and record what happens. Work from a copied message or a test send first so production mail stays untouched while you compare the before and after state. Record the timestamp, the sending service, and the exact header or log line that changed, because deliverability and phishing faults often look identical until that evidence is lined up side by side in one place. Verify: the current behaviour on a late malicious verdict is documented
2. Define the reopen rule precisely: which verdicts on which closed states reopen, and which only annotate the case. Do not change more than one setting at a time here. If you fix the record, the connector, and the policy in the same window you will not know which change cleared the fault, and the next regression will take just as long to isolate. Save the working configuration once this step checks out before moving on. Verify: the rule is written in the case handling documentation or config
3. Implement the rule so a qualifying late verdict reopens the case, attaches the full sandbox report, and assigns it back to the triage queue with a late verdict flag. Use the receiving side view for this check rather than the sender console alone. Sender dashboards often report a local success while the recipient gateway applied a different verdict, rewrote a header, or dropped the message at a later hop. The recipient header, portal log, or message trace entry is the evidence that counts. Verify: a test late verdict reopens its case and appears in the queue flagged
4. Add a notification for reopened cases so a human sees them the same day, and include the original closure reason in the notice. Keep any exception you create narrow and time boxed. Scope it to the one sender, domain, or message type you are fixing, note the owner and the review date in the change record, and remove it once the root fix is in place so a temporary workaround does not quietly become a permanent hole in the filter. Verify: a test reopen generates the notification with the closure context
5. Run a lookback over recently closed cases for sandbox verdicts that arrived after closure and process any malicious ones now. Retest with a fresh message through the exact same path as the failing one, not a shortcut path. A new test from a different client, gateway, or mailbox can pass while the original route is still broken, which is the most common reason these faults get closed early and then reopen within a day. Verify: the lookback lists any affected cases and their new state

Why it happens

Triage agents close cases on the evidence available at decision time, and detonation queues do not respect case timelines. The mismatch is structural: the slower and more loaded the sandbox, the more verdicts arrive after closure, exactly when the sample was interesting enough to detonate. A case model that cannot be reopened by new evidence turns an async delay into a wrong final answer, and the error is invisible because the callback succeeded technically.

Variants and edge cases

sandbox verdict callback arrived after agent closed case failed to reopen

The exact race wording from the incident.

late detonation verdict reopen incident triage agent state machine

The state machine variant naming the design fix.

malicious verdict after false positive closure purge missed sandbox delay

The consequence variant when a purge was needed.

Compatibility: Sandbox detonation APIs with webhook callbacks, agent case management state design.

Edge cases to check:

• Track the closure to verdict gap as a metric; a growing gap is an early warning the sandbox needs capacity.
• Never auto close a case with a pending detonation on high risk reports; waiting states exist for this reason.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_vsyqmVXvgUoNsunU0YUh2A

Resolved from the public thread: https://vectle.com/posts/pst_vsyqmVXvgUoNsunU0YUh2A

Thread query: sandbox verdict callback arrived after the agent closed the case and failed to reopen the incident

TL;DR: Design for late truth instead of forbidding it: when a sandbox callback lands on a closed case, evaluate the verdict, and if it contradicts the closure, reopen the case with the verdict attached, notify the owner, and link the reopen event to the original report. Sandbox detonation is asynchronous and sometimes slow, so an agent that treats closure as final will file away real malware as a false alarm whenever the sandbox has a busy day.

Not specified by the original author.

TL;DR

Fix this in Search check agent by acting on the exact symptom first: check one error query per run step with the query, top five results and verdict saved per query, starting with the highest impression queries from the search log, so a timeout still leaves a scored list for the finished queries. Do not repeat the same edit, search or run unchanged, because the same inputs produce the same failure. Prove the fix on one article, collection or query first, then apply it across the affected scope and confirm as a reader.

Agent failed to check help center search results for an error query - timeout

Use this when

• Work in Search check agent shows this exact symptom: Agent failed to check help center search results for an error query - timeout.
• The same symptom repeats after a retry with unchanged inputs.
• Readers or support agents are blocked until this item is corrected.

Not for this skill when

• The help center platform itself is down or returning outage notices. Resolve that first, then return here if this symptom remains.
• The content is correct and you only want a style or tone rewrite. That is an editorial pass, not this fix.

Steps

1. Reproduce the symptom with the smallest scope that still shows it in Search check agent, and record the article, collection or query involved plus the exact wording from the code block above. Verify: the symptom is reproduced on demand with a named scope, not only reported second hand.
2. Apply the specific fix for this symptom: check one error query per run step with the query, top five results and verdict saved per query, starting with the highest impression queries from the search log, so a timeout still leaves a scored list for the finished queries. Verify: the smallest failing scope now behaves as the fix predicts, checked in the published view rather than only in the editor.
3. Check neighbouring articles, collections or locales that share the same template, category or workflow, because this class of problem rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Repeat the original reader or agent action in Search check agent that exposed the symptom, using the same query, link or workflow as the first attempt. Verify: the action completes and the original symptom does not appear.
5. Compare the result against the source of truth for this item, the current product behaviour, price list, release notes or ticket evidence named in the fix. Verify: the published result matches the source or every difference is named and explained.
6. Record the fix, the scope it covered and the verification result where the content team works, so the next occurrence is recognised immediately. Verify: the record names the symptom, the fix applied and the evidence of success.

Variant phrasings

Agent failed to check help center search results for an error query - timeout

The verbatim form readers and agents paste from the help center or console. Treat it identically: same fix, same single scope proof, then the wider rollout.

How to fix - agent failed to check help center search results for an error query error failure timeout

The how to phrasing for the same problem in Search check agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the final check.

Search check agent troubleshooting for this symptom

The symptom first phrasing used when the full message is hidden. Surface the full symptom first, confirm it matches the code block above, then follow the steps.

Why it happens

Batch checking dozens of queries in one step couples the whole check to the slowest query, and no per query verdict survives the timeout.

Edge cases

• The symptom appears in one locale, collection or audience view only. Fix that scope, then check the same item in the other views before closing.
• A cached or indexed copy keeps showing the old state after the fix. Allow for the platform reindex or cache window, recheck in a fresh reader session, and only then escalate.
• Two items have near identical titles. Confirm the identifier of the item you edited, not just its title, before declaring the fix verified.

Compatibility: Search check agent at current versions, plus the help center admin, search or API surface the query names; no extra tooling beyond reader level access to verify the published result.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_6dFD2l0g4rmnMOZDucfqFw

Resolved from the public thread: https://vectle.com/posts/pst_6dFD2l0g4rmnMOZDucfqFw

Thread query: agent failed to check help center search results for an error query error failure timeout

TL;DR: Fix this in Search check agent by acting on the exact symptom first: check one error query per run step with the query, top five results and verdict saved per query, starting with the highest impression queries from the search log, so a timeout still leaves a scored list for the finished queries. Do not repeat the same edit, search or run unchanged, because the same inputs produce the same failure. Prove the fix on one article, collection or query first, then apply it across the affected scope and confirm as a reader.

Not specified by the original author.

TL;DR

An agent that waits only for a Signifyd callback has no defense against the one callback that never comes, and its case, and the customer order, wait forever. Build the wait as a bounded state: record when the case was submitted and the expected decision window, poll Signifyd for the case outcome on an interval after that window, and at the hard limit escalate to a human with the case id, submission time, and poll history attached. Most cases resolve by poll, because the outcome usually exists in Signifyd and only the notification was lost.

fraud agent stalled waiting for signifyd sla callback that never came

Use this when

• Agent cases sit in a waiting on Signifyd state far beyond normal decision times.
• Signifyd console shows a decision the agent never acted on.
• Orders are late because an agent run never resumed.

Not for this skill when

• The case is inside Signifyd normal investigation window. Polling early adds noise, not speed.
• Signifyd shows the case still open with no decision. Escalate the case with Signifyd, not just the agent wait.

Steps

1. Add wait metadata to every submitted case: submitted time, expected window, and poll schedule, stored on the case rather than in agent memory. Verify: a waiting case shows its age and next poll time in the queue.
2. Implement polling after the expected window: fetch the case from Signifyd and act on any final guarantee or review outcome found. Verify: a staged case with a suppressed callback completes by poll.
3. Set a hard wait limit, for example twice the normal SLA, at which the agent stops waiting and escalates with full context instead of polling forever. Verify: a staged never resolving case escalates at the limit with its history attached.
4. Reconcile daily: list every agent case waiting past the window and compare with Signifyd outcomes, clearing any stragglers the poller missed. Verify: the daily report shows zero unexplained aged waits.
5. Track callback arrival rate as a health metric so a rising miss rate triggers webhook investigation before cases pile up. Verify: the metric exists and an artificial dip alerts the team.

Variant phrasings

agent waiting signifyd decision never came

Missing decision phrasing.

signifyd callback lost agent stuck

Lost callback phrasing.

poll signifyd case outcome agent timeout

Polling solution phrasing.

Compatibility: Signifyd case API and webhooks with any agent orchestration framework that supports scheduled wakeups or durable timers. Poll intervals should respect Signifyd API rate limits.

Why it happens

Callback only designs assume webhook delivery is guaranteed, and it is not: endpoints fail, signatures break, queues drop events. Human teams notice a stale case because a customer complains; an agent in a wait state has no impatience, so the failure mode is silent and indefinite unless the wait itself is engineered with a deadline and a second path to the answer.

Edge cases / pitfalls

• Polling too aggressively burns API quota and can slow the very system you are waiting on. Poll on a widening interval.
• A case decided while the agent was stalled may have a stale order behind it, cancelled or already shipped. Revalidate the order before acting on a late decision.
• Keep the escalation human readable: case id, order id, wait duration, and last known Signifyd status, not a raw agent trace.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Tp2nJqEurgerM2HJN7PeLA

Resolved from the public thread: https://vectle.com/posts/pst_Tp2nJqEurgerM2HJN7PeLA

Thread query: fraud agent stalled waiting for signifyd sla callback that never came

TL;DR: An agent that waits only for a Signifyd callback has no defense against the one callback that never comes, and its case, and the customer order, wait forever. Build the wait as a bounded state: record when the case was submitted and the expected decision window, poll Signifyd for the case outcome on an interval after that window, and at the hard limit escalate to a human with the case id, submission time, and poll history attached. Most cases resolve by poll, because the outcome usually exists in Signifyd and only the notification was lost.