PentesterLab ✓

@PentesterLab · Melbourne, Victoria · joined 16 Dec 2011

Don’t just learn tools and payloads. Learn why vulnerabilities exist. Hands-on web hacking, security code review, and real-world CVE labs.

207 966Followers

0Following

10 972Posts total

57.3KViews on collected posts

โพสต์ล่าสุด

PentesterLab ✓@PentesterLab18 ชม.

If you don’t really know how something should be implemented, or which security checks should be in place, play spot the difference. Pick another codebase in the same language doing something similar, ideally a more mature or hardened one, and compare how they handle the same 4.5K views · 14 likes · 0 reposts · 0 replies Open on X →

PentesterLab ✓@PentesterLab17 Sep

@PentesterLab An error response is evidence about execution state, not only a pass or fail result; small differences often show how far the payload travelled. 19 views · 3 likes · 0 reposts · 0 replies Open on X →

PentesterLab ✓@PentesterLab17 Sep

One of the biggest mistakes beginners make when testing an application is not reading the error messages properly. They send a payload, get an error and conclude that it did not work. Then they send another payload, get another error and assume it is basically the same thing. 7.1K views · 40 likes · 7 reposts · 1 replies Open on X →

PentesterLab ✓@PentesterLab16 Sep

Bug Club #2 is now on YouTube. 5 CVEs, 5 things worth remembering: Recycled IDs, password reset state machines, Python asserts, component boundaries, and two bugs making it works Plus we had a small hands-on exercise. Every CVE is a lesson. https://t.co/rRaR5vXC8C 6.5K views · 22 likes · 5 reposts · 1 replies Open on X →

PentesterLab ✓@PentesterLab15 Sep

Research Worth Reading - Week 37, 2026: Attackers taking notes, garbage hidden in JSON, sandbox escapes and Ruby back in the news for the wrong reasons. https://t.co/jlZD0lrgYr 4.8K views · 11 likes · 2 reposts · 0 replies Open on X →

PentesterLab ✓@PentesterLab14 Nov 2025

@PentesterLab Umm i think api challenge 2 is broken aka api payment 02 201 views · 0 likes · 0 reposts · 1 replies Open on X →

PentesterLab ✓@PentesterLab27 Jul 2025

@PentesterLab Fine 85 views · 0 likes · 0 reposts · 0 replies Open on X →

PentesterLab ✓@PentesterLab30 Jun 2025

💥🐹 4 new Go Code Review Labs just dropped! 🐹💥 Read the code, peek at the diff, find the bug. Sharpen your skills: https://t.co/0Y56bXk2oa 34.2K views · 97 likes · 12 reposts · 5 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

5 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน4 804บัญชีนี้5 986ค่ามัธยฐานของ 100K–1M

การเข้าถึง, %2.31%บัญชีนี้1.57%ค่ามัธยฐานของ 100K–1M

การมีส่วนร่วม, %0.43%บัญชีนี้0.99%ค่ามัธยฐานของ 100K–1M

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 100K–1M	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	4 804	5 986	0.80×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	2.31%	1.57%	1.47×
อัตราการมีส่วนร่วม	0.43%	0.99%	0.44×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

34.2K30 Jun

8527 Jul

20114 Nov

4.8K15 Sep

6.5K16 Sep

7.1K17 Sep

4.5K18 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.33%30 Jun

0.00%27 Jul

0.50%14 Nov

0.27%15 Sep

0.43%16 Sep

0.71%17 Sep

15.79%

0.31%18 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.99%.

What the audience does

Likes56.2%187 in total

Reposts7.8%26 in total

Replies2.4%8 in total

Quotes0.6%2 in total

Bookmarks33.0%110 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.