Alex Matrosov ✓
@matrosov · San Francisco, CA · joined 14 Jul 2008
Security REsearch @Anthropicai · Breaking & Fixing AI Failure Modes | Founder @binarly_io · @SBOM_Tools · @REhints | Author “Rootkits & Bootkits" (https://t.co/1wd2dfYHY6)
20 388Followers
2 425Following
9 716Posts total
3MViews on collected posts
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Unfortunately, the complexity of the hardware and firmware supply chain has the same negative effect on how cryptographic artifacts are managed, or mismanaged, across the ecosystem.
This is a reminder of the scale of the problem, based on just one documented data breach.
9.8K views · 68 likes
· 16 reposts · 3 replies
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This tweet has aged a few months, and frontier progress has only strengthened my feelings in this direction. Twelve months ago my thought was that AI is just another tool, automating parts of the RE/VR process.
Now I'm more of the impression that it operates like the creative
8.7K views · 80 likes
· 11 reposts · 8 replies
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The uncomfortable truth is that almost everything we built for application security was designed for a different threat model, one where a human had days to think. At this scale and velocity it doesn't hold, and teaching an AI agent to drive those same tools doesn't fix it.
Our
66.2K views · 372 likes
· 61 reposts · 36 replies
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The window to patch software bugs is collapsing
Of the bugs hackers actually exploit, ~87% are now being attacked on or before the day the bug is public knowledge
That share was 23% in 2020
Charts of the Week: https://t.co/RfYfzHpbLI https://t.co/eoXU2dXoRF
131K views · 816 likes
· 118 reposts · 72 replies
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This trend has been building for a while, and Glasswing demonstrated the risk early on. Now we need to get defense up to speed with offense.
7.4K views · 46 likes
· 5 reposts · 2 replies
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Cyber is having a moment
Across 21 major software companies, including Apple, AWS, Microsoft, and Google:
- Reported critical vulnerabilities never cleared 100 per month in four years
- Since spring they've jumped to over 600 per month
Charts of the Week: https://t.co/X6Z9jza8
978.4K views · 2.2K likes
· 416 reposts · 198 replies
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Neoclouds are built on top of commodity HW and FW, and in most cases they’ve accepted the vendors threat model trade-offs. The potential security risk is already quite high from many perspectives, but it’s multiplied by the complexity of the FW ecosystem and the supply chain
3.7K views · 24 likes
· 4 reposts · 2 replies
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Lately I've been thinking about how AI is changing vulnerability research and reverse engineering. VR and RE are some of the hardest workflows to parallelize. Even with great knowledge transfer and team practices, you usually default to one person per vuln or RE task. The work is
35.6K views · 278 likes
· 53 reposts · 12 replies
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@matrosov LMAO we spent millions of dollars for this hardware chain of trust system for our UEFIS and one leak caused the entire supply chain to just fall in the lap of the attackers. NICE
6K views · 53 likes
· 6 reposts · 0 replies
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@matrosov i had warned about this, that making Intel, Microsoft, AMD the gatekeepers of cryptography will lead us to trouble!
9.5K views · 32 likes
· 1 reposts · 3 replies
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⛓️Confirmed, Intel OEM private key leaked, causing an impact on the entire ecosystem. It appears that Intel BootGuard may not be effective on certain devices based on the 11th Tiger Lake, 12th Adler Lake, and 13th Raptor Lake. Our investigation is ongoing, stay tuned for updates.
1.1M views · 1.8K likes
· 717 reposts · 40 replies
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⛓️Digging deeper into the aftermath of the @msiUSA data breach and its impact on the industry.
🔥Leaked Intel BootGuard keys from MSI are affecting many different device vendors, including @Intel , @Lenovo, @Supermicro_SMCI, and many others industry-wide.
🔬#FwHunt is on! https:
585.8K views · 368 likes
· 126 reposts · 8 replies
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Against accounts of the same size
7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views9 760this account924median for 10K–100K
Reach, %47.87%this account3.62%median for 10K–100K
Engagement, %0.81%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 9 760 | 924 | 10.6× |
| Reach (views ÷ followers) | 47.87% | 3.62% | 13.2× |
| Engagement rate | 0.81% | 1.52% | 0.53× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
585.8K5 May
1.1M
18.2K
9.5K
6K6 May
35.6K10 May
3.7K2 Sep
978.4K5 Sep
7.4K
131K6 Sep
66.2K
8.7K12 Sep
9.8K20 Sep
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.09%5 May
0.23%
0.17%
0.38%
1.00%6 May
0.97%10 May
0.83%2 Sep
0.31%5 Sep
0.72%
0.81%6 Sep
0.72%
1.13%12 Sep
0.90%20 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes56.2%6 141 in total
Reposts14.0%1 534 in total
Replies3.5%384 in total
Quotes3.7%409 in total
Bookmarks22.5%2 462 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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