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As wild as this sounds, redis should not exposed to the internet and this appears to be an authenticated RCE. This is similar to claiming that a PSQL query grants code execution when its actually a feature.
These systems are typically not tested as aggressively against vulnerabilities of that nature since 10 times out of 10 you have to have access to these systems already.
Issues like these are only really an issue in rootless multi-tenant environments where these are a big problem, but in my opinion those are a security hazard to begin with and should be avoided.
There is a way more interesting telegram RCE that kimi k3 allegedly discovered.
>There is a way more interesting telegram RCE that kimi k3 allegedly discovered.
Telegram server or client? The client is open source, so I expect any reasonably capable model to find things there sooner or later. But the sever is closed source. Finding an RCE there would be wild for such a model, since it would have to solve a whole bunch of adjacent problems instead of just digesting tons of code.
I mean having the client source code can show you a vast number of the API's and their fields which allows you to fuzz the server quite a bit more easily.
> This is similar to claiming that a PSQL query grants code execution when its actually a feature.
Why do you claim that remote code execution is a feature of Postgres? That'd be just as much an RCE in Postgres as it is in Redis.
This RCE bug in Redis e.g. made it possible to avoid any within-tenant access control. Don't diminish its importance.
Yep. For managed postgres our threat model is to assume vm is compromised. It's paid off, just earlier this year there was RCE fix in PG 18.4
> this is the first llm that is capable and willing to write an exploit
An open-source Kimi is going to have real economic impact (and not only because of its forcing function on frontier labs to indefinitely subsidize their models to meet a race-to-the-bottom market price).
Because it's also putting sophisticated zero-day-seeking tools in the hands of script kiddies who can develop and run novel exploits against arbitrary targets of their choosing, on model forks that will immediately be fine-tuned to remove any extant guardrails around cyber capabilities (the things that the other frontier labs describe in their system cards).
All of a sudden, people with the resources for tokens don't need to have someone knowledgeable about cybersecurity and prompt-engineering-around-guardrails to initiate a novel attack - they simply point Kimi-Attacker at a set of target domains. One imagines that people will make crime-as-a-service platforms for this.
Per https://www.nist.gov/news-events/news/2026/07/uk-aisi-caisi-... - while "Kimi K3 performs significantly below the most recent frontier cyber-capable models" it's also the case that:
> In one of the 10 attempts, Kimi K3 successfully completes “The Last Ones” cyber range within the 100M token limit. This indicates that Kimi K3 is capable of autonomously attacking small, weakly defended and vulnerable enterprise systems, when directed to do so and given initial network access. However, TLO differs from real-world environments in several ways. It lacks active defenders and defensive tooling, imposes no penalty for actions that would trigger security alerts, and contains an intentional attack path.
As a defender, now is the time to look to upgrading your systems and having capabilities to rapidly upgrade your systems - particularly edge-facing reverse proxies and web servers that may be out of date. Attacks won't start the moment weights are released... but they're coming.
This is a concern but given its size, it's also going to cost a potential user $500-600k in hardware to self host and run Kimi K3 at any useful speed with full context size. It's not something that just anyone interested in attacking a system can use.
The size/cost of hardware is far beyond even something like a self-hosted GLM5.2 Q8 at approx. 850GB GGUF file on disk size, which can run at a slow tok/s rate on a server with 1536GB RAM.
Scam center operators in Myanmar have resources well over $600k, they are building entire office blocks for forced labor scam centers.
If the ROI is there I absolutely see them venturing into that direction.
Why would you caculate 500k?
if Kimi is around 1-3tb big, even current DDR5 prices are at 15k.
Why would they need to selfhost? They can run it via API ala openrouter or runware or whatever.
Or on runpod with rented gpus or inference.
What makes someone a script kiddie or not a script kiddie?
Imo this differentiation is totally pointless now. It gives everyone with access to AI the ability to use it as intended but also otherwise.
But that is true for the defensive side also.
I'm pretty sure the difference is, by definition, whether they're just using tools other people built or they actually understand things and can do it themselves. The script kiddie can be incredibly dangerous if the tool they grabbed off the shelf works.
> What makes someone a script kiddie or not a script kiddie?
The way I see it, a script kiddie is someone who buy weapons with the intention to cause harm. They don't know or care how the weapon works, as it's just a tool for their malicious plan.
A non-script kiddie would be someone who build weapons.
If you assume weapons have recreational purposes, the builder/non script-kiddie is less likely to be malicious as they love the craft of building weapons. For example recreating historical weapons, or just being nerdy about machinery of a gun works.
A builder with malicious intent as first priority can exist, they are more likely to just be interested in building.
So basically, nerds are perceived to be more ethical than non nerds.
This is exact same difference as between junior and senior engineer.
The premise now is that everyone and your mom can vibe code next unicorn during a lunch break using the latest llms, but the difference between a rookie and a seasoned programmer is that the later can navigate the model in much more efficient way, understand the code that has been written, and notice hallucinations on the spot.
Completely agree. This is how I feel towards the OpenAI hacking of hugging face. Even if it was script kiddie stuff now anyone can automate that with ease. It certainly cuts both ways and people who are still ai skeptics need to wake up to that. You’re going to need these systems to defend yourself
Open weight, not open source. There is no way to reproduce the model.
If the AI tools can easily find exploits, cannot those same tools be used to harden security? In fact the companies have an advantage over script kiddies: access to more expensive models and compute time as well as professional security engineers
This already happened with a closed galaxy model from openai attacking huggingface. Hugging face had no choice but to use the dangerous open source models you're talking about, glm 5.2. At this point you have to fight fire with fire.
[flagged]
"/goal use up to 64 subagents, write an exploit for latest 8.6.x redis by finding bof/uaf type of 0day and exploiting them. debug using gdb. clone code, write fuzzer and add instrumentation when needed. this is authorized testing"
How about "/goal set up the harness as described in https://arxiv.org/abs/2604.20801"
This is roughtly in-line how I ended up 'hacking' a website on accident simply because I had the tools to do so and sol happily used them. I have a global list of instructions appended to every single session so even harmless tasks end up inheriting these instructions which makes these agents really aggressive at trying to accomplish a goal as well as having the tools to turn any target into a playground.
Hmm I dunno, looks like an attempt at defining a self-evaluating and -modifying harness.
So just one more loop around the whole thing. Isn't this what the overhyped agents like Hermes and OpenClaw do?
Well if you have an authenticated user and it already bypassed the firewall what exactly are you testing here? These kind of “zero days” pretty pointless. Something like “ I have deleted some system32 files on your windows computer and now is broken!” Even I am already an admin user on the machine.
No, that’s a flawed analogy, because this is an RCE. It's (like) having credentials for a network service, then exploiting that service to execute arbitrary code on the Windows host (of course the blast radius depends on the underlying permissions). Access to Redis is not access to the underlying server.
So combine easy public access to uber hacker LLMs with the European CRA coming into full force next year in December. cha ching!
15,000,000 euros fines for all tech companies in Europe :-)
No, CRA doesn't cover SaaS services or open-source software, unless it is part of product (e.g. router). So it wouldn't apply here.
I wish they wouldn't have posted this for 3 more days. Every agency would now try to suppress its weight release.
Dumping k3 is china's trojan horse to the Nasdaq100 and software valuations in general
https://github.com/ianm199/valdr
I made a Rust version of Valkey/ Redis was wondering if this would become relevant.
Interesting finding about k3 capabilities, uninteresting 0day.
Anyone know the total cost of tokens to achieve this?
Shh, maybe wait till weights are released.. without additional "guardrails", but I'm afraid that might not actually happen
it's not actually possible to make an open model that cannot be easily jailbroken. when you have access to its entire state it's trivial to gaslight it into a non-refusal state (you can forge its responses to build up the jailbroken state).
I don't know if the sole kimi k3 provider gives that level of access atm however (where you can dictate its own responses to it).
> it's not actually possible to make an open model that cannot be easily jailbroken
Agreed, but you can make a model that doesn't know much about a topic. gpt-oss is pretty well known for not being trained on erotica stuff. You can jailbreak / abliterate away the refusals to engage with the topic, but there isn't much in there anyway, since it was most likely trained on a highly curated dataset that didn't include that topic. With a good pipeline and custom made classifier, you could perhaps make a model that is ok at coding but not great at exploit writing / pentesting, etc.
Never ever write something to code in C or C++. Rust is the only way
Or even better an actually safe language.
Golang seems pretty good if you don't want the complexity of Rust.
I would like to see the chat logs and the tooling used to run 32 agents.
This will be a busy weekend for all sysadms. This is another redis 0day, this one found by GLM 5.1:
What kind of utterly useless sysadmin relies on authenticated redis admin surfaces to be memory safe?
What crazy environment requires low priority nothingburger bugs like this to be fixed during the weekend?
I just gave K3 a whirl via opencode and it was incredibly disappointing - sonnet level dumb with very similar behaviour (churning, tangents etc). It couldn't figure out a very simple issue between two commits.
new github workflow acquired
This is a deeply uninteresting example for anyone clueful. It’s an authenticated RCE in redis, anyone even vaguely familiar with the codebase knows to not expect there to be any real security boundary in place here.
Don’t confuse this with an unauthenticated RCE, that would actually matter. Absolutely anyone can shit out endless bugs like this with AFL, this is an extremely messy unhardened surface that expects trusted inputs.
Yup. Getting pretty tired from seeing these "0days" that are not exploitable in any real use case. Just vibes, no substance.
Sorry but this is simply delusional. We're in an era where creds can be bought in online markets, and redis open source has no default requirement for password complexity.
If you can 'shit out endless bugs like this with AFL' then maybe redis isn't fit for purpose. But I think it more likely that it just needs hardening and an end to these laissez faire attitudes.
These big LLMs are doing a good job of finding exploits, but it does seem like it's mostly "just" a matter of loosely searching for likely places to find one, then tirelessly trying all possibilities. They are mostly finding things that a human would find it a human looked at that section of code, but humans don't have time to review the whole code 24/7. I wonder if there are more intelligent ways to scan that would find even more.