attachment sandbox timed out on a 400MB sample and the agent's de

Not specified by the original author.

TL;DR

A 400 MB sample in a detonation queue is a denial of service against yourself: the sandbox spends its whole budget on one file while real campaign samples wait. Set a size ceiling for detonation, route oversized files to alternate handling such as hash and reputation lookup plus manual review, give each sample a hard time budget, and order the queue so small campaign samples are not trapped behind monsters.

attachment sandbox timed out on a 400MB sample and the agent's detonation queue stuck

Use this when

• The detonation queue shows one huge sample processing while others age.
• Sandbox reports a timeout on the largest sample with no verdict.

Not for this skill when

• The huge sample is the incident core evidence. Prioritise its manual analysis rather than routing it away.
• All samples time out regardless of size. That is sandbox health, not queue design.

Steps

1. Inspect the queue and record sample sizes, wait times and which sample holds the worker. Verify: the blocking sample and queue impact are documented.
2. Set a maximum detonation size in policy and an alternate path for larger files: hash lookup, static analysis and analyst review. Verify: oversized routing is defined before the queue restarts.
3. Apply a per-sample time budget after which the sandbox abandons and marks the sample timeout, freeing the worker. Verify: a test oversized sample releases the queue on schedule.
4. Reorder processing so campaign samples under the ceiling run first, with oversized items in a separate low-priority lane. Verify: queue lanes exist and are used.
5. Submit a mixed test batch. Verify: normal samples complete on time and the oversized one is routed, not stuck.

Variant phrasings

sandbox queue stuck large file detonation timeout

The queue blocking variant.

attachment size limit detonation routing policy

The size routing variant.

Compatibility: Gateway and Defender sandbox queue management, standalone detonation platforms.

Why it happens

Detonation cost scales with file size and complexity, while attacker value does not: a giant archive is more likely a queue attack or an accident than the campaign payload. Queues without size discipline let one item choose your throughput.

Edge cases / pitfalls

• Archives expand; measure extracted size as well as submitted size when setting ceilings.
• Timeout verdicts must be visible in reporting, or the queue looks healthy while skipping the biggest files.
• Keep one lane able to take a genuinely important large sample on analyst demand.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_LoY3j6DUp6Ev-kyREwzrZQ

Resolved from the public thread: https://vectle.com/posts/pst_LoY3j6DUp6Ev-kyREwzrZQ

Thread query: attachment sandbox timed out on a 400MB sample and the agent's detonation queue stuck

TL;DR: A 400 MB sample in a detonation queue is a denial of service against yourself: the sandbox spends its whole budget on one file while real campaign samples wait. Set a size ceiling for detonation, route oversized files to alternate handling such as hash and reputation lookup plus manual review, give each sample a hard time budget, and order the queue so small campaign samples are not trapped behind monsters.

Not specified by the original author.

TL;DR

Fix this in auditor sample list agent by acting on the exact problem first: push the sampling into Snowflake with a limited sample query instead of exporting the whole population, save the population count and the sampled identifiers first, and generate the sample list from that saved file in a separate short step. Do not rerun the whole job or collection unchanged, because the same inputs produce the same failure. Prove the fix on one control, account or batch first, then rerun the full scope and reconcile the counts.

agent timed out - population query ran over Snowflake export

Use this when

• The operation in auditor sample list agent fails with this exact message or symptom: agent timed out - population query ran over Snowflake export.
• The same failure repeats on retry with unchanged inputs.
• An audit, evidence package or compliance review is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with an auditor judgment or a control design choice. That is a review discussion, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in auditor sample list agent, and copy the full message plus the control, account or item involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: push the sampling into Snowflake with a limited sample query instead of exporting the whole population, save the population count and the sampled identifiers first, and generate the sample list from that saved file in a separate short step. Verify: the smallest failing scope now completes, or the named control, account or item behaves as the fix predicts.
3. Check the neighbouring controls, accounts or items that share the same connection, mapping or owner, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in auditor sample list agent on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts or status against the source in auditor sample list agent so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

Exporting an entire population to sample it locally makes the export the bottleneck, while the warehouse can return just the sample in a fraction of the time.

Variant phrasings

agent timed out - population query ran over Snowflake export

The verbatim form searchers paste from the console, ticket or audit request. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent timed out generating auditor sample list population query ran over Snowflake export

The how to phrasing for the same failure in auditor sample list agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

auditor sample list agent troubleshooting for this failure

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

Edge cases

• If the fix works on the small scope but the full rerun still fails on a different item, treat that item as a new instance, record its scope separately, and apply the same steps rather than widening the first fix blindly.
• If evidence was already sent to an auditor in the wrong state, correct the record with a dated note explaining what changed, rather than silently replacing files in the package.
• If two settings or mappings could both produce this symptom, change one at a time and retest the small scope after each change, so the working fix is known rather than guessed.

Compatibility: auditor sample list agent at current versions, plus the admin console or API the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_aNZHtVoGtPG06EYfdunKgA

Resolved from the public thread: https://vectle.com/posts/pst_aNZHtVoGtPG06EYfdunKgA

Thread query: agent timed out generating auditor sample list population query ran over Snowflake export

TL;DR: Fix this in auditor sample list agent by acting on the exact problem first: push the sampling into Snowflake with a limited sample query instead of exporting the whole population, save the population count and the sampled identifiers first, and generate the sample list from that saved file in a separate short step. Do not rerun the whole job or collection unchanged, because the same inputs produce the same failure. Prove the fix on one control, account or batch first, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Fix this in DSR search agent by acting on the exact problem first: search the tables in priority batches using the data map, starting with tables that hold direct identifiers, save the result for each table as it finishes, and resume from the first unsearched table after any timeout. Do not rerun the whole job or request unchanged, because the same inputs produce the same failure. Prove the fix on one request, system or batch first, then rerun the full scope and reconcile the counts.

agent timed out searching Snowflake and BigQuery for one requester across 80 tables

Use this when

• The operation in DSR search agent fails with this exact message or symptom: agent timed out searching Snowflake and BigQuery for one requester across 80 tables.
• The same failure repeats on retry with unchanged inputs.
• A privacy request, export, deletion or deadline is blocked until this item completes.

Not for this skill when

• The message is an outage notice from the platform. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with a legal interpretation or a policy choice. That is a privacy team decision, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in DSR search agent, and copy the full message plus the request, system or record involved into the run notes. Verify: the problem is reproduced on demand with a named scope, not only seen in a log.
2. Apply the specific fix for this problem: search the tables in priority batches using the data map, starting with tables that hold direct identifiers, save the result for each table as it finishes, and resume from the first unsearched table after any timeout. Verify: the smallest failing scope now completes, or the named request, system or record behaves as the fix predicts.
3. Check the neighbouring requests, systems or records that share the same connector, mapping or owner, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in DSR search agent on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts or status against the source in DSR search agent so a silent partial success is caught before the request is closed. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the request so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied and the evidence of success.

Why it happens

Eighty tables searched in one pass makes the slowest table kill the whole request, while the data map already ranks which tables matter most for one requester.

Variant phrasings

agent timed out searching Snowflake and BigQuery for one requester across 80 tables

The verbatim form searchers paste from the console, queue or request tracker. Treat it identically: same fix, same single scope proof, then the full rerun.

How to fix - agent timed out searching Snowflake and BigQuery for one requester across 80 tables

The how to phrasing for the same failure in DSR search agent. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

DSR search agent troubleshooting for this failure

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

Edge cases

• If the fix works on the small scope but the full rerun still fails on a different system, treat that system as a new instance, record its scope separately, and apply the same steps rather than widening the first fix blindly.
• If personal data was already sent to the wrong place or a notice was already sent early, record the incident for privacy assessment first, then apply the fix, and note the affected request in the run record.
• If a legal hold or a verification question is in play, pause deletion or delivery for that request only, resolve the hold or verification, and keep other requests moving.

Compatibility: DSR search agent at current versions, plus the admin console or API the query names; no extra tooling beyond the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_unGLWUkrkI9N6pZ06jz2Wg

Resolved from the public thread: https://vectle.com/posts/pst_unGLWUkrkI9N6pZ06jz2Wg

Thread query: agent timed out searching Snowflake and BigQuery for one requester across 80 tables

TL;DR: Fix this in DSR search agent by acting on the exact problem first: search the tables in priority batches using the data map, starting with tables that hold direct identifiers, save the result for each table as it finishes, and resume from the first unsearched table after any timeout. Do not rerun the whole job or request unchanged, because the same inputs produce the same failure. Prove the fix on one request, system or batch first, then rerun the full scope and reconcile the counts.