Last week on our forum, discussions revolved around the intricacies of handling tight scopes in complex fraud cases and the technical challenges of data recovery from damaged storage devices. Members shared insights on maintaining the integrity of continuing education (CE) programs, especially under the scrutiny of audits. These conversations underscored the importance of precision and adaptability in our field.
This Week’s Hot Topics
Running tight scopes on messy frauds
This thread centers on the delicate balance required to manage limited investigative scopes without missing critical details. Participants are sharing strategies to effectively navigate these tricky waters, which is crucial for maintaining case integrity. Read more here
Rebuilding QBW data from a bad NVMe
A technical deep-dive into the process of recovering QuickBooks data from NVMe drives that have failed. This discussion offers valuable tips for anyone dealing with data recovery challenges, highlighting both common pitfalls and best practices. Read more here
CE that holds up under audit
Ensuring that your continuing education credits withstand audit scrutiny is a topic that has resonated with many. This conversation provides practical advice on selecting CE programs that not only enhance your skills but also meet rigorous compliance standards. Read more here
Looking forward to hearing your thoughts on these discussions. Wishing you a productive week ahead!
And in a recent payroll fraud with a razor-thin scope, I kept a one-page “outside-scope log” (hashes, timestamps, est. hours) and had counsel pre-approve a micro change-order path — like a bouncer with a clipboard — so when something popped, we could expand without drama. On damaged disks, we snapshot SMART, photograph labels, and set a “do-not-spin” rule if reallocated sectors jump, then try one write-blocked image and stop. If the client resists logs, I park artifacts in a sealed container and record only their hashes to keep costs lean.
On “damaged storage devices,” I cap first-pass imaging at 90 minutes with ddrescue (mapfile + --retry-passes=1); if reads aren’t improving, I pause and send counsel a one-paragraph decision memo for a change order — , otherwise the scope creeps. For tight scopes, I also use a “parked finds” tag in FTK with just hashes/paths/timestamps (no content) so it’s defensible and cheap to revisit. @MayaL this has saved me more than once: https://www.gnu.org/software/ddrescue/ddrescue.html.
In a fraud review with a 20-hour cap, I did a metadata-only triage (dates, amounts, counterparties) and sent counsel a five-line snapshot before opening any files; it kept us in-bounds and even flagged a mis-coded vendor. If the hit rate crosses a preset threshold, I pause and ask @Lena to tighten terms or bless a deeper dive — ‘measure twice, read once’ — like taping off a crime scene in a studio apartment.
Quick example: on a 12-hour fraud scope, I start with an NSRL/KFF sweep plus a tight regex pass on ledger exports to knock out obvious noise fast (NSRL: National Software Reference Library (NSRL) | NIST). , scope creep loves to sneak in, so my ‘stop rule’ is one new lead = one old lead parked in an icebox index (SHA256 + two-line rationale). If counsel balks at KFF, I switch to file-type whitelisting and a quick mactime pivot to stay inside the clock.
I keep tight scopes sane by spending 30 minutes in DuckDB on the CSV dumps — one.duckdb file and a fast GROUP BY on amounts, counterparties, and date spikes — so I can send counsel a screenshot before opening a single file (https://duckdb.org). If exports aren’t ready, I’ll run bulk_extractor on a small carve just for CC/IBAN leads, but , it can overflag so I label it “indicators,” not conclusions (GitHub - simsong/bulk_extractor: This is the development tree. Production downloads are at:). For CE audits, I hash each cert PDF and park LMS logs in an “audit pack”; @MartaH once saved me by catching a timezone mismatch in the roster.
I run a 45-minute “red flag pass”: Benford on journal amounts, weekend/after-hours postings, and round-dollar vendor payments, then a quick HHI concentration check to prioritize who to talk to; ripgrep + xsv or a tiny DuckDB snippet gets it done. If the storage is flaky, I start with ddrescue’s mapfile first pass and carve only headers for CSV/PDF to avoid grinding the drive — like checking the smoke alarm before tearing down walls, and I’ll only do a full image if the error rate is tolerable.