464
Obunachilar
Ma'lumot yo'q24 soatlar
Ma'lumot yo'q7 kun
Ma'lumot yo'q30 kun
Ma'lumot yuklanmoqda...
O'xshash kanallar
Taglar buluti
Ma'lumot yo'q
Muammo bormi? Iltimos, sahifani yangilang yoki bizning qo'llab-quvvatlash boshqaruvchimizga murojaat qiling>.
Kirish va chiqish esdaliklari
---
---
---
---
---
---
Obunachilarni jalb qilish
Fevral '24Fev '24
Fevral '24
+88
0 kanalda
Yanvar '24
+233
0 kanalda
Get PRO
Dekabr '23
+168
0 kanalda
Get PRO
Noyabr '23
+24
1 kanalda
Get PRO
Oktabr '23
+277
0 kanalda
Get PRO
Sentabr '230
0 kanalda
Get PRO
Avgust '230
0 kanalda
Get PRO
Iyul '230
0 kanalda
Get PRO
Iyun '230
0 kanalda
Get PRO
May '230
0 kanalda
Get PRO
Aprel '230
0 kanalda
Get PRO
Mart '230
0 kanalda
Get PRO
Fevral '230
0 kanalda
Get PRO
Yanvar '230
0 kanalda
Get PRO
Dekabr '220
0 kanalda
Get PRO
Noyabr '220
0 kanalda
Get PRO
Oktabr '22
+8
0 kanalda
Get PRO
Sentabr '22
+22
0 kanalda
Get PRO
Avgust '22
+2
0 kanalda
Get PRO
Iyul '22
+2 022
0 kanalda
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 16 Fevral | +7 | |||
| 15 Fevral | +2 | |||
| 14 Fevral | +7 | |||
| 13 Fevral | +7 | |||
| 12 Fevral | +5 | |||
| 11 Fevral | +5 | |||
| 10 Fevral | +1 | |||
| 09 Fevral | +8 | |||
| 08 Fevral | +12 | |||
| 07 Fevral | +5 | |||
| 06 Fevral | +6 | |||
| 05 Fevral | +3 | |||
| 04 Fevral | +5 | |||
| 03 Fevral | +5 | |||
| 02 Fevral | +7 | |||
| 01 Fevral | +3 |
Kanal postlari
| 2 | https://www.kitploit.com/2023/12/cloakquest3r-uncover-true-ip-address-of.html?m=1#google_vignette | 492 |
| 3 | LTE Discovery
Powerful signal discovery and analysis tool
store
📡 t.me/HackLabel | 545 |
| 4 | GSM Protocol Analyzer
pdf
📡 t.me/HackLabel | 459 |
| 5 | GSM Protocol Analyzer
pdf
📡 t.me/HackLabel | 1 |
| 6 | Matn yo'q... | 111 |
| 7 | | کجایید ای شهیدان خدایی.. | 105 |
| 8 | نمیدانم دلم دیوانه کیست
کجا میگردد و در خانه کیست
نمیدانم دل سرگشته ما
اسیر نرگس مستانه کیست | 105 |
| 9 | • Joe Sandbox is a malware analysis service that allows users to submit suspicious files for analysis. This service can help you identify new malware and prevent it from causing harm.
• Using Joe Sandbox, suspicious files are automatically analyzed and the results are presented to you. This service is capable of detecting various types of malware, including spyware, trojans, viruses, bots, and more.
• With Joe Sandbox, you can easily identify suspicious files and delete them if necessary. This service allows you to identify new malware and prevent it from causing harm.
• Joe Sandbox features include accurate analysis, malware detection, behavioral detection, vulnerability detection, comprehensive reporting, and more. Using this service, you can easily analyze suspicious files and prevent them from causing harm.
Link: https://www.joesandbox.com/
📡 t.me/HackLabel | 197 |
| 10 | YARA is a tool aimed at (but not limited to) helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families (or whatever you want to describe) based on textual or binary patterns.
YARA’s documentation
example:
rule android_banker
{
meta:
description = "Detects Android Banker"
author = "Oleg Skulkin"
strings:
$s1 = "com.example.horsenjnj" ascii wide
$s2 = "res/xml/shit.xml" ascii wide
condition:
all of them
}
📡 t.me/HackLabel | 164 |
| 11 | YARA is a tool aimed at (but not limited to) helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families (or whatever you want to describe) based on textual or binary patterns.
YARA’s documentation
example:
rule android_banker
{
meta:
description = "Detects Android Banker"
author = "Oleg Skulkin"
strings:
$s1 = "com.example.horsenjnj" ascii wide
$s2 = "res/xml/shit.xml" ascii wide
condition:
all of them
}
📡 t.me/HackLabel | 1 |
| 12 | YARA is a tool aimed at (but not limited to) helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families (or whatever you want to describe) based on textual or binary patterns.
YARA’s documentation
📡 t.me/HackLabel | 2 |
| 13 | فرق میکند اسیر که باشی | 61 |
| 14 | ☢️ https://github.com/0xZ0F/Z0FCourse_ReverseEngineering
☢️ https://crackmes.one
☢️ https://www.youtube.com/@pwncollege/videos
☢️ https://repo.zenk-security.com/Magazine%20E-book/Hacking-%20The%20Art%20of%20Exploitation%20(2nd%20ed.%202008)%20-%20Erickson.pdf
☢️ http://www.phrack.org/issues/49/14.html#article
☢️ https://github.com/justinsteven/dostackbufferoverflowgood
☢️ https://github.com/FabioBaroni/awesome-exploit-development
☢️ https://github.com/CyberSecurityUP/Awesome-Exploit-Development
☢️ https://github.com/RPISEC/MBE
☢️ https://github.com/hoppersroppers/nightmare
☢️ https://github.com/shellphish/how2heap
☢️ https://www.youtube.com/watch?v=tMN5N5oid2c
☢️ https://dayzerosec.com/blog/2021/02/02/getting-started.html
☢️ https://github.com/Tzaoh/pwning
🧠 t.me/Devexploit | 47 |
| 15 | Mobile Network Codes and Names Guidelines and Application Form
pdf
📡 t.me/HackLabel | 71 |
| 16 | Python Parser to Recover Deleted SQLite Database Data
Soooo.... last week I was listening to the Forenisc Lunch and the topic of parsing deleted records from SQLite databases came up. These Forensic Lunches are every Friday and cover a wide range of topics relevant to the Forensics Community and are hosted by David Cowen. I highly recommend participating in one if you get the chance. It's actually at 10am my time, so it's more like a Forensic Doughnut for me.
blog
📡 t.me/HackLabel | 165 |
| 17 | Python Parser to Recover Deleted SQLite Database Data
Soooo.... last week I was listening to the Forenisc Lunch and the topic of parsing deleted records from SQLite databases came up. These Forensic Lunches are every Friday and cover a wide range of topics relevant to the Forensics Community and are hosted by David Cowen. I highly recommend participating in one if you get the chance. It's actually at 10am my time, so it's more like a Forensic Doughnut for me.
blog
📡 t.me/HackLabel | 1 |
| 18 | Python Parser to Recover Deleted SQLite Database Data
Soooo.... last week I was listening to the Forenisc Lunch and the topic of parsing deleted records from SQLite databases came up. These Forensic Lunches are every Friday and cover a wide range of topics relevant to the Forensics Community and are hosted by David Cowen. I highly recommend participating in one if you get the chance. It's actually at 10am my time, so it's more like a Forensic Doughnut for me.
blog
📡 t.me/HackLabel | 1 |
| 19 | Matn yo'q... | 18 |
| 20 | Matn yo'q... | 146 |
