This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Existing LOLBin catalogs (LOLBAS, GTFOBins) are static, OS-isolated guides with no analysis tools. LOLPulse transforms this by uniting 303+ Windows, Linux, and macOS binaries into one live triage engine. Instead of passive docs, defenders paste obfuscated commands to instantly strip carets, decode payloads, and simulate process trees. What truly sets it apart: it automatically generates production-ready Microsoft Sentinel (KQL), Sigma (YAML), and Splunk detection rules with zero manual overhead.
Hey all
I’m Sharon, a cybersecurity researcher and malware analyst.
Over the years analyzing real-world adversary intrusions, one tactic consistently creates friction for defenders: Living-off-the-Land Binaries (LOLBins). Attackers routinely bypass traditional antivirus and EDR signatures by weaponizing trusted, pre-installed utilities (certutil, mshta, bash, osascript, etc.).
Why I built LOLPulse?
Whenever SOC analysts or detection engineers encounter a suspicious process, the workflow is frustratingly fragmented:
Scattered resources: You have to jump across separate websites—LOLBAS for Windows, GTFOBins for Linux, and LOOBins for macOS.
Manual deobfuscation: Attackers use caret escapes (c^e^r^t^u^t^i^l.exe), base64 blobs, or environment variables to evade static grep.
Detection fatigue: Translating an abused command into production SIEM rules requires tedious manual writing.
I built LOLPulse to turn static documentation into a live, interactive detection laboratory.
LOLPulse was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #22 on the daily leaderboard. Existing LOLBin catalogs (LOLBAS, GTFOBins) are static, OS-isolated guides with no analysis tools. LOLPulse transforms this by uniting 303+ Windows, Linux, and macOS binaries into one live triage engine. Instead of passive docs, defenders paste obfuscated commands to instantly strip carets, decode payloads, and simulate process trees. What truly sets it apart: it automatically generates production-ready Microsoft Sentinel (KQL), Sigma (YAML), and Splunk detection rules with zero manual overhead.
On the analytics side, LOLPulse competes within Open Source and Developer Tools — topics that collectively have 588.8k followers on Product Hunt. The dashboard above tracks how LOLPulse performed against the three products that launched closest to it on the same day.
Who hunted LOLPulse?
LOLPulse was hunted by Sharon ben-moshe. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LOLPulse including community comment highlights and product details, visit the product overview.
Sharon ben-moshe