Unknown retweeted
I'll be the first to admit I'm mediocre at exploit development, but I am in contact with enough extremely talented exploit developers to say this for certain:
Anyone claiming they were "easily" able to generate a working php2shell exploit with AI is either:
a) a world-class exploit developer with an extreme case of imposter syndrome.
b) currently looking at some very confident-sounding but wrong LLM output.
I'm rather certain it's the latter based on the number of AI-hallucinated exploits I've seen posted on GitHub. Threat actors are also blasting my honeypot network with "php2shell" exploits that not only don't work, but aren't even within 10,000 miles of anything to do with how the exploit actually works.
I've seen the same technique from the attached image in multiple alleged "php2shell exploits", including one on GitHub with over 100 stars. Problem is, it's not php2shell, nor is it even a vulnerability at all. It's a technique known as "session poisoning", which can be leveraged to exploit local file inclusion (LFI) vulnerabilities in PHP apps (not PHP itself).
The only thing it has in common with CVE-2026-109618/CVE-2026-109619 is they both use the "PHP_SESSION_UPLOAD_PROGRESS" feature. And mitigation advice for both issues reference setting "session.upload_progress.enabled" to "Off".
People are shoving loose details of the vulnerability into LLMs, the LLMs are keying in on the "PHP_SESSION_UPLOAD_PROGRESS" string, then generating session poisoning code that has nothing to do with the actual CVE. And because the people doing this have absolutely no idea what they're doing, they're confident enough to post their "proof of concept exploit" to GitHub and share it on social media.
So if you see people talking about "session poisoning + LFI" it's likely their LLM hallucinated an exploit based on a 2018 blog by Orange Tsai talking about a local file inclusion attack vector.
What's even worse is that "security researchers" are then using LLMs to triage these exploitation attempts, falling victim to the same hallucinations, then confirming there is ongoing mass-exploitation (there currently isn't).
The actual real exploit is very difficult to exploit, and so far I've not seen anyone successfully get it working on more than a handful of PHP version with highly-specific configurations.
LLMs are useful tools in the hands of skilled professionals, but for others, they're often just a Dunning-Kruger accelerator.
Unknown retweeted
We’ve seen plenty of people try to vibe code the php exploit who have no experience in the domain. Failure. Over and over. Then people who know what they are doing in exploit dev, marginal success.
People would say anyone with a frontier LLM can just say “hack this site, make no mistakes” and I won’t argue, some shallow bugs will fall out this way for a while. But the most successful applications of LLMs are coming from experts who at least know how to dissect the problem, change the models thought direction, and have put engineering into harnesses and skills. I’ve seen this across several sub sections of cyber. And that requirement will only get more mandatory as all the shallow bugs shake out. Just my 2c and observation.
🫶
(Also beware of influencers trolling with opinions on this topic. It’s often just for fake clout and clicks)
Unknown retweeted
Before local AI is banned, learn how to host and tune your own models.
Specific learning curves to understand for me were:
- Offloading portions of newer models to SSD rather than RAM
- Prompt caching configs
- Preload tuning
- the right choice of model for the task
- pre optimized models for your hardware and harness
- finding the fastest inference server at the web/api level
We had a security breach last night related to a large scale distillation attack that impacted 1.4% of OpenCode Console users
We have notified them all this morning via email. If you did not get an email you were not impacted, it was a subset of users who had external providers linked
The incident is ongoing so we cannot share more details at this point but we are working with Anthropic, OpenAI, and Google to remediate
Any chance I know anyone at OpenAI that can help out? Seems odd to ban CTF Creators from the platform. Not sure how people would be able to ensure AI doesn't one-shot challenges without being able to test it in the first place.
Replying to @OpenAI
@OpenAI I want to share a frustrating experience as a security professional.
I purchased YubiKeys to meet your account security requirements, then had my account banned for conducting authorised testing in my own self-hosted lab. My appeal has gone unanswered, and there's been no refund for either the new subscription or the hardware keys.
Credit where it's due: Daybreak is remarkably capable. But the ban process feels opaque, and even after completing ID verification, legitimate customers are left without recourse. I'd welcome a proper review of my case.
Unknown retweeted
Replying to @OpenAI
@OpenAI I want to share a frustrating experience as a security professional.
I purchased YubiKeys to meet your account security requirements, then had my account banned for conducting authorised testing in my own self-hosted lab. My appeal has gone unanswered, and there's been no refund for either the new subscription or the hardware keys.
Credit where it's due: Daybreak is remarkably capable. But the ban process feels opaque, and even after completing ID verification, legitimate customers are left without recourse. I'd welcome a proper review of my case.
Unknown retweeted
People saying ai replaces and automates…
It literally doesn’t, it scales.
1% of people are completely automating or replacing .
People just have this weird fucking selective memory about how things happen because they love the feeling of the scale.
Brothers and sisters you literally re prompted those systems or had to re-architect them to change course several times. You had to review for hallucination. There was 100 small things you did to create that AI output at its final stage.
Unknown retweeted
Monitor your agents, folks!
I had GLM-5.3 running in a lab overnight to build a POC, but also have a sentinel agent (GPT-6) to check what's going on and instructions to kill GLM if it goes off track.
Overnight, the sentinel caught GLM attempting to connect to a totally different host and killed it.
Unknown retweeted
Anthropic's Cyber Verification is absolutely useless and doesn't align with their statements of giving capable models to defenders.
Unknown retweeted
📄 Skills in Agent Harnesses
A lot of people don't know this (I didn't until recently) but most agent harnesses will load the description of your skill upon starting up your harness. This is how Claude Code works.
What people don't usually know is that even when you explicitly call a skill to be used inside of a harness, or the AI figures out to use a skill, it usually only does a read of the first 150 lines of the skill (to understand how to use it or if it applies to the work it's trying to do).
It's really important to outline a table in the first 150 lines of the mandatory parts of the skill that must be run when you invoke the skill.
If you make some type of mandatory instruction after 150 lines, it might get missed entirely. If you describe in prompting that you want to use a provided Python script or template, it also might be out of bounds of that 150 lines and never get called correctly.
If you write a table of contents of the skill actions in the first 150 lines and mark which ones are mandatory (or that, if the user has called the skill, you must read the whole skill context and all references), you get more reliable skills. We use markdown checklists for this now.
Unknown retweeted
Amazing how offensive work "is for organizations only; individual researchers are not eligible."
Local AI is the way to go. Not going to renew @AnthropicAI.
We’re expanding our Cyber Verification Program to give security professionals broader access to our most capable models.
Through this program, verified security professionals can access Claude Mythos 5.1, Opus 5.5, and Sonnet 5.5 with safeguards designed for defensive work.
We’re also opening up new tiers to allow for authorized offensive work, like penetration testing and red-teaming.
anthropic.com/news/cyber-ver…
Unknown retweeted
One of the most useful AI tools in a bug bounty workflow doesn't produce the kind of response we're used to reading. Jev takes the context you give it and returns a choice, a score, or a probability for a yes/no question, which makes it useful for automating decisions you'd otherwise make repeatedly.
When your proxy contains thousands of request-and-response pairs, deciding which ones deserve attention can take longer than testing the good ones. You could feed Jev summaries of methods, parameters, responses, and account context in batches, then score which requests deserve a human look.
The same approach could help sort attack ideas from a larger model: compare candidates in batches, then test the shortlist against the app's actual threat model.
Give your hackbot some AI it can use… doesn’t that sound weird?
Unknown retweeted
Your future doctor is using ChatGPT to get through exams right now, so please start eating better and exercising.
Unknown retweeted
If y’all companies keep closing programs, reducing bounty tables, and have nowhere to report… you’re gonna have hard time.
Bounty programs, or at least VDPs or reporting mechanisms are more important than EVER in the scaled AI hacking age.
Triage got you down? Put pressure on the platform to do better and innovate. Or, contract with 2nd level triage, I know several consulting shops that do it. Some even integrate with vulnerability management to take vulns all the way to remediation. At the end of the standard automation era a lot of these positions got downsized snd reduced, but it’s time to start investing in them again.
Unknown retweeted
The wait is almost over. Path of Exile 2 fully releases on December 11 PST.
Ready your swords, Exile. Your greatest battle is about to begin. ⚔️
Sign up for exclusive rewards and learn more here: pathofexile2.com/register/X
Unknown retweeted
🔁 SQL injections are far from dead, it keeps showing up in legacy code, custom query builders, and contexts where input gets reprocessed in unexpected ways! 🧐
Our guide covers how to identify and exploit SQLi vulnerabilities in modern applications, from union-based and blind extraction to second-order injection and filter bypasses! 🤠
Read it now! 👇
intigriti.com/researchers/bl…




















