AI Is Great at Finding Vulnerabilities. So Where's the Vulnpocalypse?
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Despite the widespread hype surrounding artificial intelligence and predictions of a "vulnerability apocalypse," reality shows that while AI is exceptionally skilled at identifying security flaws, these findings have not yet triggered the catastrophic events some anticipated. The core issue lies in the distinction between merely discovering a vulnerability and successfully exploiting it for malicious gain. As explained by security researcher Patrick from VulnCheck, finding a flaw does not automatically mean there is a viable path to exploitation or that threat actors can monetize it immediately. Many of the vulnerabilities AI tools uncover are either already known, require specific misconfigurations to be dangerous, or exist in systems where no one has access to exploit them for financial profit.
The surge in reported CVEs (Common Vulnerabilities and Exposures) is largely driven by increased accessibility in vulnerability discovery rather than a sudden explosion of critical threats. The open-source ecosystem, often built with functionality as the primary focus over security, naturally contains many flaws that AI can now easily spot. However, most commercial products react to these findings by issuing patches quickly once exploitation evidence surfaces, turning what could be crises into manageable maintenance tasks. Furthermore, while AI has become a significant new attack surface itself—often targeted for stolen API keys and credentials—the sheer volume of discovered issues does not equate to mass compromise because the coordination required to validate reports and engage maintainers remains a substantial hurdle that automated tools cannot easily bypass.
Ultimately, the cybercrime ecosystem is driven by purpose and profit, requiring attackers to find vulnerabilities that allow them to pivot into networks or execute ransomware campaigns effectively. While AI can identify thousands of issues, including those in complex edge devices and CMS systems, many remain dormant because they are not part of a chain leading to financial gain or nation-state objectives. The most effective strategy for organizations remains consistent: automating the patching of internet-facing assets, changing default passwords on consumer-grade hardware, and focusing resources on configurations that actually expose critical data. As AI continues to evolve both as an offensive tool and a target, the industry must adapt by addressing these practical realities rather than fearing a scenario where every discovered flaw instantly becomes a weaponized exploit.
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While many things about AI have been
overhyped and overstated, one thing that
has become very clear is that AI is
really good at finding vulnerabilities.
Despite that being true, why haven't we
had the Volnpocalypse event that these
AI companies claimed would happen? Well,
to get to the answer, we have to take a
closer look at the CVE ecosystem,
especially the KEV or known exploited
vulnerabilities catalog. For that, I'm
bringing in my friend Patrick from
VulnCheck. He's a security researcher
that has done a deep dive into this
topic and published a very good report
that you'll find linked down below.
There are no sponsors for this video,
but if you're wondering why Patrick
appears to be in a skate shop, well,
that's his office where he both skates
and does security research. Patrick,
welcome. And man, this is some great
research because the world was falling,
the sky was falling, it was going to be
well, well, let's call it a marketing
play now because I think the numbers in
reality are a little different than what
might have been expected when these
projects and these AIs really started
digging into it. Your research is really
a great piece on this that it's solid
validation from it's going to be scary
when we release these models on the
general public and it's there's a lot of
vulnerabilities being found, for sure.
So, let's start there.
>> Yeah, it's it's been fun. Um I mean,
yeah, AI is cool technology. You know, I
think both of us use it ourselves in our
day-to-days to some extent. And you
know, the the main thing is I do I look
at I I track I have a team of people
that work on tracking known exploited
vulnerabilities.
Um whenever there's evidence third-party
publicly, we have our own canary
detections. And we aggregate all that
and we've been doing it
since like 2020. I got involved early
2024.
We decided, "Hey, let's let's give away
this, you know, free resource, the known
exploited vulnerability catalog." So,
what's cool is the research that I'm
doing, other people can replicate.
There's evidence behind all of it, you
know? All vulnerability is you know is
imperfect, so I'm not going to say like
every claim and everything that is said
or
everything is uh necessarily 100%
accurate, but generally speaking like
this gives us a good sense of the world
of what things are being targeted, uh
what things are being exploited, how
quickly they're the evidence is
surfacing and and being exploited. And
so yeah, now it's been about 2 and 1/2
years. I've probably done
I don't know, three or four of these
types of reports. I try and do one every
half year uh and then a full year
report.
And then I look at it throughout the
year all the time to say like see like,
"Hey man, is there is there a
substantial change in trends here in
relation to exploitation?" And then also
I look at and track vulnerabilities. Our
company in a I have a team that does
that and we issue CVEs as well.
And it's it's just interesting to see,
you know, from my perspective this year
the substantial change is is AI models
coming out with this like fear,
uncertainty, and doubt around, you know,
all of a sudden um
everything's going to change and it's
the volnpocalypse. And so yeah, for me
anytime there's there's, you know, kind
of like wild claims, I'm really
interested. ClassLink particular came
out with their like 400-page
250-page report, multiple reports at
this time, but like the first report
only had a single CVE listed. And so for
me, you know, that sent some red flags
of like, "You're claiming thousands of
things, tens of thousands of things, the
evidence you're providing is not even in
the double digits, you know?" So
naturally I think for people like myself
that have been at this for a while are
like, "Man, there's some red flags
here."
>> [laughter]
>> This is what causes us to go into it
because ultimately finding a
vulnerability doesn't necessarily mean
there's a path to exploitation. So as a
cybersecurity practitioner, we look at
it from, "Oh, great, you found a flaw in
this particular thing. How does someone
get to that thing?" And that's a really
important aspect. And of course, is that
thing somewhere uh threat actors can
make money from it? That's one of their
driving goals from a when it when it
becomes a serious problem for you is
like, "All right, is this thing exposed
in a way that someone can exploit it,
leverage it to make money?" Whether
that's deploying ransomware or uh using
CMS systems and building click fix.
We'll get into some of that, but
>> I mean, crypto miners.
Yeah, I
Well, you have you have that dynamic,
and then I think the other side of it,
too, is you have like nation-state
activity, which I think that's where
this technology is probably
more concerning.
I mean, those are kind of the reality of
of the actors out there, and and most
the actors that your normal enterprise
or business that's going to get hit by
is is more monetary criminal activity.
>> And this is where the hype from the AI
really hits that yes, we're actually
seeing very large volume increases in
the number of CVEs, but not the massive
increase at the Kev, the exploitability
of all this. That's That's where this is
really
uh
getting into those numbers.
>> Yeah, the growth of vulnerabilities is,
you know, skyrocketing. There In the In
some of the growth, like, you know, a
lot of it is related to the open-source
ecosystem.
Um I think this is more reflective of
the fact that vulnerability discovery
has become more accessible to many
people. You see a lot of people on
LinkedIn being like, "Oh, I I just found
my first vulnerability and got my first
CVE." And so, I think there's that that
aspect of it, but but these are, you
know, a lot of this is real
vulnerabilities. Uh and then we we see
the commercial products coming out,
like, Microsoft on Patch Tuesday, Oracle
recently, where um Firefox, Chrome,
where their CV issues are skyrocketing.
>> Incredible numbers on Firefox. And but
it's it's good because like you said
many of these are reactionary where the
patch comes because of the exploitation,
which is a harder thing to deal with
because you're like I think people are
getting popped. Is it because they have
a problem? Is it because they did
something wrong? Is it because they
added something or misconfigured it or
is there actual flaw in the product? Uh
so
seeing it get ahead of it is somewhere
where it's definitely a net positive I
think from the AI going we're going to
point it at this code base, we're going
to let it beat it up and we're going to
find the problems and fix them before
they get found in the wild.
>> I think a good example of this is you
know I have I have friends where they're
like yeah I I spun up AI, ran it out on
this piece of software, found 25
vulnerabilities, I reported them and
they were all like thank you.
>> [clears throat]
>> Like these are all real. Um and so you
know naturally I think especially in the
open source ecosystem there there are an
infinite number of projects that like
security isn't really been a it's been
an afterthought. It's not a priority.
It's how do I build functionality,
feature sets, and ship software?
>> Yeah, most devs build things to work not
in they stop when they work not when
they're secure. That's just the nature
of it especially newer developers who
haven't had to
battle test their products in the public
space.
>> And I think we're seeing that in the
data related to AI adjacent products. Um
yeah I I mean this is kind of
interesting but in the report itself,
right? One of the things I looked at was
vulnerabilities discovered by AI and
then vulnerabilities in AI software. The
vulnerabilities in AI software, the the
known exploited vulnerabilities that we
saw first off like that is now the fifth
highest by technology category AI as far
as AI products being targeted. And and
you look at different projects like open
claw where there's just like an I don't
know uh thousands at this point of
vulnerabilities discovered at
>> Open flaws is the sticker I like the
best that I see.
>> Yeah. Yeah, it reflects that a lot of
these projects were built, often vibe
coded,
and they actually work really, really
well. They get really, really broad
adoption. Uh but also people now have AI
tools to implement these these
technologies that that didn't have the
technical capability to do that before.
They're They're not minded in security.
They're just like, "How do I get this
thing out? How do I deploy it? Implement
it so I can take advantage of this new
tech." And And we're seeing a lot of
exploited vulnerabilities in this area.
Yeah, specifically like AI gateways,
things that connect AI systems,
LangFlow,
uh just a bunch of them.
>> The LangFlow is interesting. There's
It's the going after all the keys and
things like that. So, that's become
another really big part of the
exploitation is
what can we find with AI? What are
people not setting environment
variables? Um
publishing their Docker Compose to
GitHub that they didn't set up
environment for, so it now has all of
the keys in it as well.
It's like you said, there's a lot of new
people getting into this.
>> I mean, a a great example of this is is,
you know, I was interacting with Claude
and it's like, "Just give me your API
keys, right?" And I'm like, "Well, that
sounds like a bad idea, like giving API
keys to a chat prompt." And it's like,
"Yeah, you're right. That's not security
best practice, but people put their
their their, you know, keys on GitHub
all the time." And I was like,
>> [laughter]
>> And AI AI was not wrong about that.
>> It's not a good idea, but it is a fact.
>> Yeah. Like AI Like AI like literally
must have traded in their Like, "Yeah,
there's There's API keys, so I'm going
to tell Patrick it's okay."
Um uh is my assumption. And so, I yeah,
I just you know, it's it's kind of
fascinating, but I the biggest thing
from a reporting, you know, and defender
perspective, it's like, "Yeah, AI's the
new attack surface." And yeah, the thing
I mean the activity that we've seen so
far is predominantly
stealing stealing keys and credentials,
and then a crypto mining. You know, for
my take, I think a lot like I think
there is some good intention of like
discovering coordination and and trying
to figure it out, but I think what they
didn't understand going into this is is
that the tough part isn't actually
discovering vulnerabilities.
The tough part is the coordination, the
validation and coordination piece where
you actually have to interact with
people. You have to report these things.
You have to get their attention. And and
a lot of times like
I I I mean, I I I laugh, but we get
emails back when we do coordinated vuln
disclosure of like an image of a middle
finger. Like the That's the only
response. And so, yeah, you're you're
dealing with software maintainers that
like dude, they they don't care.
Um uh and not not everyone, but like
there Yeah, there's a mixed bag and like
it is a ton of work to be actually to
actually do coordinated vuln disclosure
at scale.
Um so, I'm not doubting that like
they're they're they're finding a ton of
things.
Um I think that's reality. The question
is is like how impactful is it? And and
the coordination piece is actually the
the in the fix side of things is
actually the diff- difficult part.
>> Well, especially
we're dealing with a lot of complicated
products, especially when we talk about
edge devices, CMS systems. They're not
just a piece of software that you turn
on or off. There's a lot of
configuration. So, the questions
frequently I have for people when we
talk about exploits is is it a default
config? And is it a common config if
it's not default? Cuz it may be that
it's a default config. Okay, that can be
hair on fire with a CVE that's has a
high score. But if it's a non-default,
it's some obscure like this edge device
firewall, um this is a terrible full
10.0, but no one turns this feature on
cuz it's not in things like that. Or is
it a feature that's easily
misconfigured? But this is also that
nuance of like you said, getting the
disclosure right because now I got to
contact these people and they got to try
and reproduce the config I'm seeing
where the exploit is exploitable and are
they using that same config? Is this a
common config? Is it also Did you read
our instructions? That's not the way
that was supposed to be set up.
>> Yeah, obviously [laughter] the data
showing a ton of more disclosures, a ton
of more volume. Um I think the question
is and I kind of mentioned this like the
next 6 months is going to be interesting
to see how it plays out. There's also
the aspect of yeah, grab the lowest
hanging fruit. Um there's a ton to work
from.
>> [laughter]
>> Um and so I think that's a real real
reality as well as you know, they're
going to they're going to leverage and
use the things that are easiest. And in
that all we like we always see those
shifts. We saw a shift from you know,
from credential compromise over to
exploitation after MFA really got
adopted more broadly.
And so naturally I think that's
evolution is you know, they'll move up
the stack and leverage you know,
different different more complicated
things when they need to. But obviously
if you can go mass compromise a ton of
systems with a single vulnerability,
that that's going to be your best route
if that's your objective.
>> And I think this is the last thing we
leave on is the threat actor ecosystem
in this bigger cybercrime as a whole is
an ecosystem into itself. There's a lot
of players involved. It's massive. But
it also has to have a purpose and you
know, in the early days when we were
younger doing computer things, if we
found a vulnerability on a website, it
was so we could change whatever, some
silly things we might put on there.
Defacing websites was uh for the for the
lols as they might say back then. The
reason CMS is being attacked now is it's
part of a chain where they attack the
CMS, they take a legit website and they
embed click fixing the new hotness here
in 2026 and they figure out how to make
it a fishing lure so they can pivot in.
But it's part of a entire chain they're
doing. So there has to be a purpose and
money driven cuz just because people
have a default password on things, which
we know is a real problem still,
especially in the there's a recent
exploit
earlier this year
that it was discovered where just
because everyone left their firewalls at
the default password, but there were a
bunch of consumer and really small
business ones and that didn't
necessarily lead to being able to pivot
in or make money off of it. So it's just
been sitting there. Everyone's like,
"Yeah, of course that exists." But other
than there's not a reason to mass
exploit it until there was where the
it was tied to Russian threat actors
that used this for DNS data and
redirecting things. So it has to have
kind of a purpose and it's that full
alignment. So just finding with a bunch
of AI more exploits doesn't necessarily
lead you to that alignment and building
into the cybercrime ecosystem. But when
that alignment happens, that's when the
attacks get centered. So I think this
will leave people with like, "Keep
patching."
>> [laughter]
>> Change those default passwords.
>> Yeah, I I always say, you know, focus I
break out the technologies too cuz it's
like it helps provide some sense of what
you should focus on and what's getting
hit. Um and definitely anything
internet-facing, anything associated
with user devices, like those things you
should be automating and getting patched
as quickly as possible.
Um
uh you know, certainly is going to help
move the needle.
Um so, yeah.
>> All right, man. Well, thank you. Links
down below to all the research on this.
Uh that's awesome. I'm looking forward
in a few months to see what's changed.
We'll come back
>> Yeah, I'm going to be tracking and and
see if anything changes substantially.
I'll be I'll be sure to let you know.
>> It's not my normal mini ramp to work on.
>> [laughter]
>> All right, now we can go to lunch.