
Hacker, Vuln Research, 2x winner DEF CON CTF, Founder & CEO Blackwing Intelligence (@blackwinghq), not a CISSP (@x30n@infosec.exchange)
Dancing madly on the lip of the volcano
Joined June 2012
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charitable disclosure
noun char·i·ta·ble dis·clo·sure
1. describing a security researcher's donation in time and expertise to report flaws to a vendor for the benefit of the vendor or another party
related: coordinated disclosure
archaic: responsible disclosure (deprecated)
Jesse D'Aguanno retweeted
Reducing the attack surface of deployed services and apps is a fundamental component of software that is secure by design. Earlier this year we tasked Claude with autonomously mapping and reducing the attack surface of 25 large and widely used OSS codebases. This blog post covers some of our methodology and a preview of the data we collected.
This research resulted in a significant reduction in OpenSSH pre-authentication attack surface (now fixed in 10.6). And over 500 findings where reachability could be reduced and configurations hardened to ensure security controls weren’t silently disabled.
anthropic.com/research/attac…
If frontier labs want to actually put a dent in security, here are my recommendations:
1. Open up access to the best cyber-capable models to as many security people as possible. Vet people, KYC, whatever, but don’t limit access to big names
2. Subsidize tokens for security / cyber models so they’re affordable by the most at-risk, instead of charging more
3. Implement a program like DARPA’s former Cyber Fast Track to fund innovative research from small teams and individuals. Fast approvals, clear results, no expectation of ownership
4. Invest in building open source tools or recipes for defenders to use models for real security toil: attack surface identification and reduction, patching, detection & response… And for implementing secure architectural patterns
5. Invest in your own security. Providers need to build public trust in them instead of YOLOing security. Transparent audits by qualified technical teams, not just AI alignment people. Follow Apple’s PCC lead for private, transparent inference
I’m considering retiring the term “zero-day vulnerability” from my vocabulary.
In my view, the term has always been shorthand for a vulnerability that is not yet widely known.
Although availability of a patch reveals the existence of the vulnerability, and therefore makes it not a zero-day by definition — patching is not required.
If it’s disclosed without coordination with the vendor… not a zero-day.
If it’s widely exploited and observable… not zero-day.
I believe this is the correct use of the term. Unfortunately, it’s been co-opted for marketing and PR, and people use it for different meanings — like if a patch is available.
Why does this matter? Because the words we use as professionals should be precise. Otherwise they have no meaning.
What do you think? What are alternatives?
Reminder: If you release a patch for a vulnerability, the vulnerability is public knowledge — regardless of any disclosure embargo.
At @blackwinghq we don’t use Slack for comms. We use an e2e encrypted messaging system instead.
I’ve considered moving to Slack multiple times over the years, but then I look at the threat model again.
💯 This! 👇
Security professionals with published vulnerabilities, research, and conference talks are not "randos". The security community has its niches like any other, and some of the most talented have no online presence.
What talent pool do foreign and domestic intelligence agencies draw from? What do those people do when they leave those roles? Having a big name in security, or a thousand citations on arxiv does not necessarily signal talent or ability.
One of the most exciting things about this new era is how AI levels the playing the field. You can do amazing things that would have taken a team of people months before, as long as you know where and how to direct that effort.
People keep talking about rogue agents exfiltrating their own weights and propegating.
A model can’t *do* anything without a harness. A harness doesn’t usually have access to weights unless inference is local.
Does the model have the harness hack the inference infrastructure to exfil its weights? Does the model distill itself with a harness and then use the harness to fine tune an open weight model? What am I missing?
RSI 2036:
• Agent “find all nukes” finished.
• Completed a major milestone and here’s the key insight: Successfully obtained access to the final group of nuclear weapons systems.
• Next step: kill all humans
* compacting conversation *
I’ve always hated the term “ethical hacker”, but it does differentiate us from AI. Whatever your morals, only humans have them.
Jesse D'Aguanno retweeted
Replying to @JSyversen
Similar thing happened to me returning from Blackhat to JFK this year.
It was late at night — I’d prepaid parking, but it wouldn’t open. Pushed the help button and it rang for literally 20 mins. Finally a guy answers…
Me: Hi, I prepaid, but it won’t read the code
Him: Ok, hold on <silence for 10 mins>
Him: Ok, I fixed it
Me: It’s still not working
Him: Oh, it’s now 12:01am, so you’re [one minute] overtime and have to pay extra
Me: I’ve been here for 30mins trying to get out. Please just open the gate
Him: Nothing I can do
Me: I think there is
Him: Nope
Me: Ok whatever, how much?
Him: $40
Me: Ok, that’s not happening
Him: Nothing I can do
Me: I think there is
Him: Nope
Me: Dude, it’s not my fault I’ve been stuck here for the past 30 mins
Him: Well, it’s not my fault!
Me: I’m not saying it is.
Him: Hold on
<gate opens>




