We hack you,before attackers do.
One missed vulnerability can cost you a quarter of revenue. We find the holes first, prove they’re real, and show you how to close them.
Most expensive breaches start as ordinary product gaps.
Exposed APIs, loose storage, cloud tables, and access rules that moved faster than the checks around them. We look for those first.
2013Every Yahoo account was compromised in the largest breach ever disclosed.
2018India's national ID database was reachable through insecure endpoints.
2021Scraped profile data for most users surfaced for sale online.
2020Account details for China's largest social platform were sold off.
2018Attackers sat in Starwood's reservation system for four years.
2020A misconfigured database exposed years of support logs.
2024A payments breach exposed medical and billing data nationwide.
2017One unpatched web server exposed the credit data of half the US.
2013A vendor login led to card data theft during the holidays.
2019A misconfigured cloud firewall exposed credit applications.
2016Uber paid hackers to hide a breach instead of disclosing it.
2022Health records leaked after a ransom demand was refused.
2025An exposed database leaked chat history and secret keys.
2013Every Yahoo account was compromised in the largest breach ever disclosed.
2018India's national ID database was reachable through insecure endpoints.
2021Scraped profile data for most users surfaced for sale online.
2020Account details for China's largest social platform were sold off.
2018Attackers sat in Starwood's reservation system for four years.
2020A misconfigured database exposed years of support logs.
2024A payments breach exposed medical and billing data nationwide.
2017One unpatched web server exposed the credit data of half the US.
2013A vendor login led to card data theft during the holidays.
2019A misconfigured cloud firewall exposed credit applications.
2016Uber paid hackers to hide a breach instead of disclosing it.
2022Health records leaked after a ransom demand was refused.
2025An exposed database leaked chat history and secret keys.
2024A data broker leak put Social Security numbers into open circulation.
2019A scraper pulled over a billion records from the Taobao platform.
2024A cloud breach exposed customer and ticketing data at scale.
2021Phone numbers and profile data leaked from an old scraping flaw.
2016An old credential dump became one of the largest ever leaked.
2023An API flaw let attackers match emails to accounts at scale.
2013Source code and customer records were stolen together.
2014Stolen employee logins opened the whole user database.
2024Call and text metadata for nearly every customer leaked.
2014A breach hit three quarters of US households' bank.
2024The library's authentication database was exposed and defaced.
2023Profile sharing turned credential stuffing into a genetic data leak.
2022Attackers stole backups of customer password vaults.
2024A data broker leak put Social Security numbers into open circulation.
2019A scraper pulled over a billion records from the Taobao platform.
2024A cloud breach exposed customer and ticketing data at scale.
2021Phone numbers and profile data leaked from an old scraping flaw.
2016An old credential dump became one of the largest ever leaked.
2023An API flaw let attackers match emails to accounts at scale.
2013Source code and customer records were stolen together.
2014Stolen employee logins opened the whole user database.
2024Call and text metadata for nearly every customer leaked.
2014A breach hit three quarters of US households' bank.
2024The library's authentication database was exposed and defaced.
2023Profile sharing turned credential stuffing into a genetic data leak.
2022Attackers stole backups of customer password vaults.
Four steps from first call to a shipped fix.
The process stays narrow, documented, and easy for engineering to follow.
A 30-minute call sets boundaries, test accounts, and the disclosure path. No broad access. No surprise production activity.
AI-assisted agents and human researchers probe the product surface faster than a manual review can cover alone.
Every lead is reproduced by a human. If we cannot prove a real exploit path safely, it does not become a finding.
Your team gets a concise report with proof, impact, and a fix path. We stay available while the patch ships and beyond.
We think like an attacker. We report like an ally.
The work is aggressive. The handoff is calm. Your engineers get the shortest path from confirmed issue to shipped fix.
Password resets that leak tokens. Invites that outlive employees. Object IDs you can just increment. We hit the boring product flows everyone ships fast and nobody re-reads — because that's where real breaches start.
Any authenticated user can download invoices belonging to other organizations by changing the numeric id. Reproduced on a test account. No customer data touched.
You get the exact request we sent, what came back, and how far it could have gone — reproduced by hand, bounded to test accounts. If we can't prove it, you never hear about it.
Every finding ends with the exact line of code or setting that closes it. Your engineer patches it the same day, and we retest to confirm the issue is gone for good.
One report. Everything to act.
Not another scanner dump — a single, bounded finding your engineers can read top to bottom and ship a fix from the same day.
POST /auth/reset leaks the token in its response
request a reset, read the token straight from JSON
we set a new password on an account we never owned
full account takeover for any email address
stop returning the token, email it instead
test accounts only, 0 records touched
Aggressive on bugs. Careful with your business.
Peak is built for founders, CTOs, and engineering teams at AI apps, devtools, fintech, healthcare, and B2B SaaS.
Controlled test accounts and minimal safe samples are the default. Production customer data is off limits.
A critical finding means we confirmed real impact. Weak scanner output gets downgraded or discarded before you see it.
Careful first contact, calm communication, and details routed to the right people before anyone else hears about it.
You do not need a security team in place first. We give fast-moving companies a concrete process for finding and fixing issues.
Questions teams ask first.
Is this just a scanner?+
No. Scanners find noise. We reproduce real exploit paths by hand and discard anything we can't prove, so every finding you see is a confirmed, bounded issue.
Will you touch our customer data?+
Never. We work from controlled test accounts and minimal safe samples. Production customer data is strictly off limits.
What do we get?+
A concise report: the affected system in plain English, reproduction steps, proof of real impact, and a fix your engineers can ship the same day.
How fast can we start?+
A 30-minute scoping call is all it takes to begin. You do not need a security team in place first.
Find out what an attacker would.
Book a 30-minute call. We will walk through your product, how we test safely, and what we would go after first.