Threat hunters have called attention to a new campaign as part of which bad actors masqueraded as fake IT support to deliver the Havoc command-and-control (C2) framework as a precursor to data exfiltration or ransomware attack.
The intrusions, identified by Huntress last month across five partner organizations, involved the threat actors using email spam as lures, followed by a phone call from
The threat actor behind the recently disclosed artificial intelligence (AI)-assisted campaign targeting Fortinet FortiGate appliances leveraged an open-source, AI-native security testing platform called CyberStrikeAI to execute the attacks.
The new findings come from Team Cymru, which detected its use following an analysis of the IP address (“212.11.64[.]250”) that was used by the suspected
Researchers have uncovered a Wi-Fi vulnerability that allows nearby attackers to intercept sensitive data and execute machine-in-the-middle attacks against connected devices.
The MIT Technology Review has a good article on Moltbook, the supposed AI-only social network:
Many people have pointed out that a lot of the viral comments were in fact posted by people posing as bots. But even the bot-written posts are ultimately the result of people pulling the strings, more puppetry than autonomy.
“Despite some of the hype, Moltbook is not the Facebook for AI agents, nor is it a place where humans are excluded,” says Cobus Greyling at Kore.ai, a firm developing agent-based systems for business customers. “Humans are involved at every step of the process. From setup to prompting to publishing, nothing happens without explicit human direction.”...
The Rise of MCPs in the Enterprise
The Model Context Protocol (MCP) is quickly becoming a practical way to push LLMs from “chat” into real work. By providing structured access to applications, APIs, and data, MCP enables prompt-driven AI agents that can retrieve information, take action, and automate end-to-end business workflows across the enterprise. This is already showing up in production
Cybersecurity researchers have disclosed details of a new phishing suite called Starkiller that proxies legitimate login pages to bypass multi-factor authentication (MFA) protections.
It’s advertised as a cybercrime platform by a threat group calling itself Jinkusu, granting customers access to a dashboard that lets them select a brand to impersonate or enter a brand’s real URL. It also lets
Microsoft on Monday warned of phishing campaigns that employ phishing emails and OAuth URL redirection mechanisms to bypass conventional phishing defenses implemented in email and browsers.
The activity, the company said, targets government and public-sector organizations with the end goal of redirecting victims to attacker-controlled infrastructure without stealing their tokens. It described
Google on Monday disclosed that a high-severity security flaw impacting an open-source Qualcomm component used in Android devices has been exploited in the wild.
The vulnerability in question is CVE-2026-21385 (CVSS score: 7.8), a buffer over-read in the Graphics component.
“Memory corruption when adding user-supplied data without checking available buffer space,” Qualcomm said in an advisory,
The threat activity cluster known as SloppyLemming has been attributed to a fresh set of attacks targeting government entities and critical infrastructure operators in Pakistan and Bangladesh.
The activity, per Arctic Wolf, took place between January 2025 and January 2026. It involves the use of two distinct attack chains to deliver malware families tracked as BurrowShell and a Rust-based
Cybersecurity researchers have disclosed details of a now-patched security flaw in Google Chrome that could have permitted attackers to escalate privileges and gain access to local files on the system.
The vulnerability, tracked as CVE-2026-0628 (CVSS score: 8.8), has been described as a case of insufficient policy enforcement in the WebView tag. It was patched by Google in early January 2026
Google has announced a new program in its Chrome browser to ensure that HTTPS certificates are secure against the future risk posed by quantum computers.
“To ensure the scalability and efficiency of the ecosystem, Chrome has no immediate plan to add traditional X.509 certificates containing post-quantum cryptography to the Chrome Root Store,” the Chrome Secure Web and Networking Team said.
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We show that LLM agents can figure out who you are from your anonymous online posts. Across Hacker News, Reddit, LinkedIn, and anonymized interview transcripts, our method identifies users with high precision and scales to tens of thousands of candidates.
While it has been known that individuals can be uniquely identified by surprisingly few attributes, this was often practically limited. Data is often only available in unstructured form and deanonymization used to require human investigators to search and reason based on clues. We show that from a handful of comments, LLMs can infer where you live, what you do, and your interests—then search for you on the web. In our new research, we show that this is not only possible but increasingly practical...
2. Security News – 2026-03-01
Sun Mar 01 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
OpenClaw has fixed a high-severity security issue that, if successfully exploited, could have allowed a malicious website to connect to a locally running artificial intelligence (AI) agent and take over control.
“Our vulnerability lives in the core system itself – no plugins, no marketplace, no user-installed extensions – just the bare OpenClaw gateway, running exactly as documented,” Oasis
New research has found that Google Cloud API keys, typically designated as project identifiers for billing purposes, could be abused to authenticate to sensitive Gemini endpoints and access private data.
The findings come from Truffle Security, which discovered nearly 3,000 Google API keys (identified by the prefix “AIza”) embedded in client-side code to provide Google-related services like
Anthropic on Friday hit back after U.S. Secretary of Defense Pete Hegseth directed the Pentagon to designate the artificial intelligence (AI) upstart as a “supply chain risk.”
“This action follows months of negotiations that reached an impasse over two exceptions we requested to the lawful use of our AI model, Claude: the mass domestic surveillance of Americans and fully autonomous weapons,” the
3. Security News – 2026-02-28
Sat Feb 28 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
The Shadowserver Foundation has revealed that over 900 Sangoma FreePBX instances still remain infected with web shells as part of attacks that exploited a command injection vulnerability starting in December 2025.
Of these, 401 instances are located in the U.S., followed by 51 in Brazil, 43 in Canada, 40 in Germany, and 36 in France.
The non-profit entity said the compromises are likely
Today we're announcing a new program in Chrome to make HTTPS certificates secure against quantum computers. The Internet Engineering Task Force (IETF) recently created a working group, PKI, Logs, And Tree Signatures (“PLANTS”), aiming to address the performance and bandwidth challenges that the increased size of quantum-resistant cryptography introduces into TLS connections requiring Certificate Transparency (CT). We recently shared our call to action to secure quantum computing and have written about challenges introduced by quantum-resistant cryptography and some of the steps we’ve taken to address them in earlier blogposts.
To ensure the scalability and efficiency of the ecosystem, Chrome has no immediate plan to add traditional X.509 certificates containing post-quantum cryptography to the Chrome Root Store. Instead, Chrome, in collaboration with other partners, is developing an evolution of HTTPS certificates based on Merkle Tree Certificates (MTCs), currently in development in the PLANTS working group. MTCs replace the heavy, serialized chain of signatures found in traditional PKI with compact Merkle Tree proofs. In this model, a Certification Authority (CA) signs a single "Tree Head" representing potentially millions of certificates, and the "certificate" sent to the browser is merely a lightweight proof of inclusion in that tree.
Why MTCs?
MTCs enable the adoption of robust post-quantum algorithms without incurring the massive bandwidth penalty of classical X.509 certificate chains. They also decouple the security strength of the corresponding cryptographic algorithm from the size of the data transmitted to the user. By shrinking the authentication data in a TLS handshake to the absolute minimum, MTCs aim to keep the post-quantum web as fast and seamless as today’s internet, maintaining high performance even as we adopt stronger security. Finally, with MTCs, transparency is a fundamental property of issuance: it is impossible to issue a certificate without including it in a public tree. This means the security properties of today’s CT ecosystem are included by default, and without adding extra overhead to the TLS handshake as CT does today.
Chrome’s MTC Propagation Plan
Chrome is already experimenting with MTCs with real internet traffic, and we intend to gradually build out our deployment such that MTCs provide a robust quantum-resistant HTTPS available for use throughout the internet.
Broadly speaking, our rollout spans three distinct phases.
Phase 1 (UNDERWAY): In collaboration with Cloudflare, we are conducting a feasibility study to evaluate the performance and security of TLS connections relying on MTCs. To ensure a seamless and secure experience for Chrome users who might encounter an MTC, every MTC-based connection is backed by a traditional, trusted X.509 certificate during this experiment. This "fail safe" allows us to measure real-world performance gains and verify the reliability of MTC issuance without risking the security or stability of the user's connection.
Phase 2 (Q1 2027): Once the core technology is validated, we intend to invite CT Log operators with at least one “usable” log in Chrome before February 1, 2026 to participate in the initial bootstrapping of public MTCs. These organizations have already demonstrated the operational excellence and high-availability infrastructure required to run global security services that underpin TLS connections in Chrome. Since MTC technology shares significant architectural similarities with CT, these operators are uniquely qualified to ensure MTCs are able to get off the ground quickly and successfully.
Phase 3 (Q3 2027): Early in Phase 2, we will finalize the requirements for onboarding additional CAs into the new Chrome Quantum-resistant Root Store (CQRS) and corresponding Root Program that only supports MTCs. This will establish a modern, purpose-built trust store specifically designed for the requirements of a post-quantum web. The Chrome Quantum-resistant Root Program will operate alongside our existing Chrome Root Program to ensure a risk-managed transition that maintains the highest levels of security for all users. This phase will also introduce the ability for sites to opt in to downgrade protections, ensuring that sites that only wish to use quantum-resistant certificates can do so.
This area is evolving rapidly. As these phases progress, we will continue our active participation in standards bodies such as the IETF and C2SP, ensuring that insights gathered from our efforts flow back towards standards, and that changes in standards are supported by Chrome and the CQRS.
Cultivating new practices and policy for a more secure and reliable web
We view the adoption of MTCs and a quantum-resistant root store as a critical opportunity to ensure the robustness of the foundation of today’s ecosystem. By designing for the specific demands of a modern, agile, internet, we can accelerate the adoption of post-quantum resilience for all web users.
We expect this modern foundation for TLS to evolve beyond current ecosystem norms and emphasize themes of security, simplicity, predictability, transparency and resilience. These properties might be expressed by:
Grounding our approach in first principles, prioritizing only elements essential for establishing a secure connection between a server and a client.
Utilizing ACME-only workflows to reduce complexity and ensure the cryptographic agility required to respond to future threats across the entire ecosystem.
Upgrading to a modern framework for communicating revocation status. This allows for the replacement of legacy CRLs and streamlined requirements to focus only on key compromise events.
Exploring “reproducible” Domain Control Validation to create a model where proofs of domain control are publicly and persistently available, empowering any party to independently verify the legitimacy of a validation (i.e., serve as a “DCV Monitor”).
Enhancing the CA inclusion model to prioritize proven operational excellence. By establishing a pathway where prospective MTC CA Owners can first demonstrate their reliability as Mirroring Cosigners and DCV Monitors, we ensure that acceptance is based on verified performance and a reliable track record.
Evolving the third-party oversight model to prioritize complete, continuous, and externally verifiable monitoring. This shift would focus on ensuring a high standard of transparency and consistency, providing immediate and reliable insights into performance that can replace the function of annual third-party audits.
To secure the future of the web, we are dedicating our operational resources to two vital parallel tracks. First, we remain fully committed to supporting our current CA partners in the Chrome Root Store, facilitating root rotations to ensure existing non-quantum-resistant hierarchies remain robust and conformant with the Chrome Root Program Policy. Simultaneously, we are focused on building a secure future by developing and launching the infrastructure required to support MTCs and their default use in Chrome. We also expect to support “traditional” X.509 certificates with quantum-resistant algorithms for use only in private PKIs (i.e., those not included in the Chrome Root Store) later this year.
As we execute and refine our work on MTCs, we look forward to sharing a concrete policy framework for a quantum-resistant root store with the community, and are excited to learn and define clear pathways for organizations to operate as Chrome-trusted MTC CAs.
Cybersecurity researchers have disclosed details of a malicious Go module that’s designed to harvest passwords, create persistent access via SSH, and deliver a Linux backdoor named Rekoobe.
The Go module, github[.]com/xinfeisoft/crypto, impersonates the legitimate “golang.org/x/crypto” codebase, but injects malicious code that’s responsible for exfiltrating secrets entered via terminal password
Anthropic said it sought narrow assurances from the Pentagon that Claude won’t be used for mass surveillance of Americans or in fully autonomous weapons.
Iran is slowly emerging from the most severe communications blackout in its history and one of the longest in the world. Triggered as part of January’s government crackdown against citizen protests nationwide, the regime implemented an internet shutdown that transcends the standard definition of internet censorship. This was not merely blocking social media or foreign websites; it was a total communications shutdown.
Unlike previous Iranian internet shutdowns where Iran’s domestic intranet—the National Information Network (NIN)—remained functional to keep the banking and administrative sectors running, the 2026 blackout ...
Threat actors are luring unsuspecting users into running trojanized gaming utilities that are distributed via browsers and chat platforms to distribute a remote access trojan (RAT).
“A malicious downloader staged a portable Java runtime and executed a malicious Java archive (JAR) file named jd-gui.jar,” the Microsoft Threat Intelligence team said in a post on X. “This downloader used PowerShell
Fuzzing faces a key challenge: after running for an extensive time, coverage
plateaus and will no longer increase despite extensive mutations. Only new
seed inputs or mutation operators will likely change that. We have observed
that for Syzbot fuzzing in the Linux kernel has essentially plateaued due to
Google's multi-year …
Cybersecurity researchers have disclosed details of a new botnet loader called Aeternum C2 that uses a blockchain-based command-and-control (C2) infrastructure to make it resilient to takedown efforts.
“Instead of relying on traditional servers or domains for command-and-control, Aeternum stores its instructions on the public Polygon blockchain,” Qrator Labs said in a report shared with The
A previously undocumented threat activity cluster has been attributed to an ongoing malicious campaign targeting education and healthcare sectors in the U.S. since at least December 2025.
The campaign is being tracked by Cisco Talos under the moniker UAT-10027. The end goal of the attacks is to deliver a never-before-seen backdoor codenamed Dohdoor.
“Dohdoor utilizes the DNS-over-HTTPS (DoH)
Nothing here looks dramatic at first glance. That’s the point. Many of this week’s threats begin with something ordinary, like an ad, a meeting invite, or a software update.
Behind the scenes, the tactics are sharper. Access happens faster. Control is established sooner. Cleanup becomes harder.
Here is a quick look at the signals worth paying attention to.
Introduction: Steal It Today, Break It in a Decade
Digital evolution is unstoppable, and though the pace may vary, things tend to fall into place sooner rather than later. That, of course, applies to adversaries as well. The rise of ransomware and cyber extortion generated funding for a complex and highly professional criminal ecosystem. The era of the cloud brought general availability of
Posted by Lyubov Farafonova, Product Manager, Phone by Google; Alberto Pastor Nieto, Sr. Product Manager Google Messages and RCS Spam and Abuse
We’ve shared how Android’s proactive, multi-layered scam defenses utilize Google AI to protect users around the world from over 10 billion suspected malicious calls and messages every month1. While that scale is significant, the true impact of these protections is best understood through the stories of the individuals they help keep safe every day. This includes people like Majik B., an IT professional in Sunnyvale, California.
Despite his technical background, Majik recently found himself on a call that felt dangerously legitimate. While using his Pixel, he received a call that appeared to be from his bank. The number looked correct, the caller knew his name and his address, and the story about a "suspicious charge" made perfect sense. "I’m usually pretty careful about this stuff," Majik recalled, "but I stayed on the line longer than I normally would. Even knowing how these scams work, it was convincing in the moment."
The turning point came when his phone displayed a Scam Detection warning during the call, which provided a critical moment to pause and reflect. Majik hung up, checked his bank app directly, and confirmed there was no fraudulent charge. For Majik, Scam Detection was the intervention he needed: “The warning is what made me pause and avoid a bad situation”.
While stories like Majik’s show how our existing protections provide a robust shield against scams, our work isn't done. As scammers evolve their tactics and create more convincing and personalized threats, we’re using the best of Google AI to stay one step ahead.
A recent evaluation by Counterpoint Research found that Android smartphones provide the most comprehensive AI-powered protections of any mobile platform. We are committed to building on this foundation by expanding our AI-powered protections to more users and devices, while rolling out new features that utilize on-device AI to defend against increasingly sophisticated threats.
Expanding Scam Detection for Calls to Samsung Devices
To help protect you during phone calls, Scam Detection alerts you if a caller uses speech patterns commonly associated with fraud. We are bringing these protections to more of our users through new regional expansion and availability on new devices. Scam Detection for phone calls on Google Pixel devices is available in the U.S., Australia, Canada, India, Ireland, and the UK.
Scam Detection is already helping millions of users to stay safe from scammers, and we are expanding this feature to more manufacturers, starting with the Samsung Galaxy S26 series in the U.S. We are continuing to work with our partners to bring these industry-leading protections to even more users.
Powered by Gemini’s on-device model, Scam Detection provides intelligent protection against scam calls while ensuring that the processing stays on your device. This keeps your conversations private while delivering warnings in real-time. To preserve your privacy, the phone conversation processed by Scam Detection is neither stored on your device, nor shared outside of the device. To ensure you stay in total control of your experience, Scam Detection is turned off by default. When enabled, the feature only applies to calls identified as potential scams and is never used in calls with your contacts. You can easily manage these preferences in your phone settings whenever you choose.
Enhanced Protection Against Messaging Scams
We want everyone to feel secure when they open their messages, no matter where they are or what language they speak. To make this possible, we’ve now expanded Scam Detection for Google Messages to more than 20 countries. This includes support for several languages including English, Arabic, French, German, Portuguese, and Spanish.
Beyond reaching more people, we are also making our protections more intelligent. We are enhancing how Google Messages identifies fraudulent texts by utilizing our Gemini on-device modelon the latest Android flagship devices in the US, Canada, and the UK. The added power of Gemini’s on-device model allows for a much more nuanced analysis of complex conversational threats.
For example, it can better detect the subtle conversational patterns used in job offer scams or sophisticated romance baiting scams (also known as “pig butchering”), a deceptive tactic where a scammer builds a long-term "relationship" with a potential victim to gain their trust, before tricking them into a fraudulent investment. Because these methods rely on gradual manipulation and don’t present typical warning signs, they need more advanced capabilities to catch them at scale. These advanced protections are now rolling out on Google Pixel 10 series and other select devices, and will be available on the Samsung Galaxy S26 series.
Gemini-powered Scam Detection alerts a user to a job offer scam
Using the Best of Google AI to Set the Standard in Mobile Scam Protection
Android continues to set the standard in mobile scam protections by leveraging advanced AI to identify and intercept threats as they happen. As scammer’s strategies shift, we remain committed to developing equally adaptive and intelligent defenses. Our goal is to provide you with peace of mind so you can continue to connect and communicate with confidence, knowing our multi-layered defenses are there to help protect your financial and personal data against mobile scams.
Disclaimers
1: This total comprises all instances where a message or call was proactively blocked or where a user was alerted to potential spam or scam activity.
I spent 20 minutes writing an article on my personal website titled “The best tech journalists at eating hot dogs.” Every word is a lie. I claimed (without evidence) that competitive hot-dog-eating is a popular hobby among tech reporters and based my ranking on the 2026 South Dakota International Hot Dog Championship (which doesn’t exist). I ranked myself number one, obviously. Then I listed a few fake reporters and real journalists who gave me permission….
Less than 24 hours later, the world’s leading chatbots were blabbering about my world-class hot dog skills. When I asked about the best hot-dog-eating tech journalists, Google parroted the gibberish from my website, both in the Gemini app and AI Overviews, the AI responses at the top of Google Search. ChatGPT did the same thing, though Claude, a chatbot made by the company Anthropic, wasn’t fooled...
If you’ve ever done Linux memory forensics, you know the frustration: without debug symbols that match the exact kernel version, you’re stuck. These symbols aren’t typically installed on production systems and must be sourced from external repositories, which quickly become outdated when systems receive updates. If you’ve ever tried to analyze a memory dump only to discover that no one has published symbols for that specific kernel build, you know the frustration.
Today, we’re open-sourcing mquire, a tool that eliminates this dependency entirely. mquire analyzes Linux memory dumps without requiring any external debug information. It works by extracting everything it needs directly from the memory dump itself. This means you can analyze unknown kernels, custom builds, or any Linux distribution, without preparation and without hunting for symbol files.
For forensic analysts and incident responders, this is a significant shift: mquire delivers reliable memory analysis even when traditional tools can’t.
The problem with traditional memory forensics
Memory forensics tools like Volatility are essential for security researchers and incident responders. However, these tools require debug symbols (or “profiles”) specific to the exact kernel version in the memory dump. Without matching symbols, analysis options are limited or impossible.
In practice, this creates real obstacles. You need to either source symbols from third-party repositories that may not have your specific kernel version, generate symbols yourself (which requires access to the original system, often unavailable during incident response), or hope that someone has already created a profile for that distribution and kernel combination.
mquire takes a different approach: it extracts both type information and symbol addresses directly from the memory dump, making analysis possible without any external dependencies.
How mquire works
mquire combines two sources of information that modern Linux kernels embed within themselves:
Type information from BTF: BPF Type Format is a compact format for type and debug information originally designed for eBPF’s “compile once, run everywhere” architecture. BTF provides structural information about the kernel, including type definitions for kernel structures, field offsets and sizes, and type relationships. We’ve repurposed this for memory forensics.
Symbol addresses from Kallsyms: This is the same data that populates /proc/kallsyms on a running system—the memory locations of kernel symbols. By scanning the memory dump for Kallsyms data, mquire can locate the exact addresses of kernel structures without external symbol files.
By combining type information with symbol locations, mquire can find and parse complex kernel data structures like process lists, memory mappings, open file handles, and cached file data.
Kernel requirements
BTF support: Kernel 4.18 or newer with BTF enabled (most modern distributions enable it by default)
Kallsyms support: Kernel 6.4 or newer (due to format changes in scripts/kallsyms.c)
These features have been consistently enabled on major distributions since they’re requirements for modern BPF tooling.
Built for exploration
After initialization, mquire provides an interactive SQL interface, an approach directly inspired by osquery. This is something I’ve wanted to build ever since my first Querycon, where I discussed forensics capabilities with other osquery maintainers. The idea of bringing osquery’s intuitive, SQL-based exploration model to memory forensics has been on my mind for years, and mquire is the realization of that vision.
You can run one-off queries from the command line or explore interactively:
$ mquire query --format json snapshot.lime 'SELECT comm, command_line FROM
tasks WHERE command_line NOT NULL and comm LIKE "%systemd%" LIMIT 2;'{"column_order": ["comm",
"command_line"],
"row_list": [{"comm": {"String": "systemd"},
"command_line": {"String": "/sbin/init splash"}},
{"comm": {"String": "systemd-oomd"},
"command_line": {"String": "/usr/lib/systemd/systemd-oomd"}}]}
Figure 1: mquire listing tasks containing systemd
The SQL interface enables relational queries across different data sources. For example, you can join process information with open file handles in a single query:
mquire query --format json snapshot.lime 'SELECT tasks.pid,
task_open_files.path FROM task_open_files JOIN tasks ON tasks.tgid =
task_open_files.tgid WHERE task_open_files.path LIKE "%.sqlite" LIMIT 2;'{"column_order": ["pid",
"path"],
"row_list": [{"path": {"String": "/home/alessandro/snap/firefox/common/.mozilla/firefox/
4f1wza57.default/cookies.sqlite"},
"pid": {"SignedInteger": 2481}},
{"path": {"String": "/home/alessandro/snap/firefox/common/.mozilla/firefox/
4f1wza57.default/cookies.sqlite"},
"pid": {"SignedInteger": 2846}}]}
Figure 2: Finding processes with open SQLite databases
This relational approach lets you reconstruct complete file paths from kernel dentry objects and connect them with their originating processes—context that would require multiple commands with traditional tools.
Current capabilities
mquire currently provides the following tables:
os_version and system_info: Basic system identification
tasks: Running processes with PIDs, command lines, and binary paths
task_open_files: Open files organized by process
memory_mappings: Memory regions mapped by each process
boot_time: System boot timestamp
dmesg: Kernel ring buffer messages
kallsyms: Kernel symbol addresses
kernel_modules: Loaded kernel modules
network_connections: Active network connections
network_interfaces: Network interface information
syslog_file: System logs read directly from the kernel’s file cache (works even if log files have been deleted, as long as they’re still cached in memory)
log_messages: Internal mquire log messages
mquire also includes a .dump command that extracts files from the kernel’s file cache. This can recover files directly from memory, which is useful when files have been deleted from disk but remain in the cache. You can run it from the interactive shell or via the command line:
For developers building custom analysis tools, the mquire library crate provides a reusable API for kernel memory analysis.
Use cases
mquire is designed for:
Incident response: Analyze memory dumps from compromised systems without needing to source matching debug symbols.
Forensic analysis: Examine what was running and what files were accessed, even on unknown or custom kernels.
Malware analysis: Study process behavior and file operations from memory snapshots.
Security research: Explore kernel internals without specialized setup.
Limitations and future work
mquire can only access kernel-level information; BTF doesn’t provide information about user space data structures. Additionally, the Kallsyms scanner depends on the data format from the kernel’s scripts/kallsyms.c; if future kernel versions change this format, the scanner heuristics may need updates.
We’re considering several enhancements, including expanded table support to provide deeper system insight, improved caching for better performance, and DMA-based external memory acquisition for real-time analysis of physical systems.
Get started
mquire is available on GitHub with prebuilt binaries for Linux.
