kemre eko new eskezare how hack my ex tg mnamn neber ahun aserar tekeyrual mekeyer bcha ayidelem befetari mass bot new yemimeslut abezazachew 😁😁nggrachew norm new sayitay yemitalef gn rkew betam yihedalu ego new yeminekut bcha leza new enem ende energy tetekme yemseraw tayalachu bekrbu tlk neger new yemnseraw 😉

አብዛኛውን ግዜ bug Bounty ላይ የሆነ vulnerability አግኝታችሁ በስንት ልፋት ከዛ out of scope እና duplicate መባል የተለመደ ነው በተለይ አሁን አሁን በፊት ያን ያህልም የለም ነበር ግን ለምን ይመስላቹሀል ሁል ግዜ የምንቀደመው 🤔



እኛ ስላልፈጠንን ወይም እንደነሱ እውቀት ስለሌለን 😓 አይደለም እስኪ አስቡበት እና ችግሩን ከነ መፍትሄው ይዘን እንመጣለን.

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​◆ እሺ ለምንድን ነው እያላችሁ ነበር አይደል ?
ወደ ረጅሙ ዝርዝር ሳንገባ ዋናውን እውነታ በጥቂቱ እንይ ።
ብዙዎቻችን አሁንም bug ሪፖርት ለማድረግ የምንከተለው old method ነው፡
➔ recon ➔ scan ➔ exploit ➔ maintaining access ➔ covering tracks...
በዚህ መንገድ pro ለመሆን እንጥራለን። ነገር ግን አሁን ባለው level አዲስ የbug bounty ፕሮግራም በወጣ በ30 ሰከንዶች ውስጥ አብዛኞቹ ወሳኝ ክፍተቶች report ተደርገው ያልቃሉ።
ምክንያቱም? modern automation ለፍጥነት እና ለብቃት ወሳኝ በመሆኑ ነው።
• hunters 24/7 አውቶማቲክ በሆነ መንገድ የሚሰሩ bug hunter bot ዎችን በማዘጋጀት በተለያዩ platforms ላይ ይለቋቸዋል። እናንተ ለፍታችሁ እና ደክማችሁ bug አግኝታችሁ report ስታደርጉ bot ቀድመዋችሁ report ስላደረጉ ብቻ ሪፖርታችሁ duplicate ይሆናል።
▪ main point - ይህ ማለት ግን ሁሉም ነገር በ bot ብቻ scan ይደረጋል ማለት አይደለም። more የሚሆነው የbug bounty ስራ አሁንም ቢሆን የሰው ልጅን deep analysis እና ትጋት የሚጠይቅ ነው። bot ብዙውን business logic VULN እና እንደ idor ያሉ ውስብስብ እና logic ያላቸውን vuln ማግኘት አይችልም

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so what’s the solution? ካላችሁ fight fire with fire. we need to build our own automation ነው::
​I’ve already built mine, and I’ll be dropping some starter code soon to help you grasp the basics. from there, you take it and push it forward.

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image quality enhancer

Requirements:

pip install opencv-python numpy

usage:

python3 enhance_image.py <input_path> <output_path> [options]

example:

python3 enhance_image.py photo.png photo_enhanced.png --scale 4 --sharpen-fine 0.7

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guide for enhancers

new update for akasha userbot

.ai <text> → chat (with memmory)
.ai (reply image) → analyze media like .img
.ai (reply voice) → transcribe + respond
.cls → clear this chat history
.persona default → chill user
.persona expert → deep technical
.persona roast → savage mode
.aim <example> → single image
.aims <example> → gallery : up to 9 imgs

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• not AI🥲

clude ai skills
14M /mnt/skills
9.3M /mnt/skills/examples
61K /mnt/skills/examples/algorithmic-art
19K /mnt/skills/examples/algorithmic-art.skill
18K /mnt/skills/examples/benepass-reimbursement
7.0K /mnt/skills/examples/benepass-reimbursement.skill
14K /mnt/skills/examples/brand-guidelines
5.5K /mnt/skills/examples/brand-guidelines.skill
16K /mnt/skills/examples/call-to-book
6.0K /mnt/skills/examples/call-to-book.skill
18K /mnt/skills/examples/cancel-unsubscribe
7.0K /mnt/skills/examples/cancel-unsubscribe.skill
5.4M /mnt/skills/examples/canvas-design
2.6M /mnt/skills/examples/canvas-design.skill
16K /mnt/skills/examples/doc-coauthoring
6.0K /mnt/skills/examples/doc-coauthoring.skill
17K /mnt/skills/examples/event-planning
6.5K /mnt/skills/examples/event-planning.skill
15K /mnt/skills/examples/file-expenses
6.0K /mnt/skills/examples/file-expenses.skill
15K /mnt/skills/examples/file-form
6.0K /mnt/skills/examples/file-form.skill
16K /mnt/skills/examples/financial-calculator
6.5K /mnt/skills/examples/financial-calculator.skill
15K /mnt/skills/examples/grocery-shopping
6.0K /mnt/skills/examples/grocery-shopping.skill
16K /mnt/skills/examples/hire-help
6.0K /mnt/skills/examples/hire-help.skill
24K /mnt/skills/examples/internal-comms
10K /mnt/skills/examples/internal-comms.skill
25K /mnt/skills/examples/learn
10K /mnt/skills/examples/learn.skill
122K /mnt/skills/examples/mcp-builder
42K /mnt/skills/examples/mcp-builder.skill
15K /mnt/skills/examples/meal-delivery
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37K /mnt/skills/examples/morning
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18K /mnt/skills/examples/prescription-refill
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227K /mnt/skills/examples/skill-creator
73K /mnt/skills/examples/skill-creator.skill
45K /mnt/skills/examples/slack-gif-creator
16K /mnt/skills/examples/slack-gif-creator.skill
146K /mnt/skills/examples/theme-factory
121K /mnt/skills/examples/theme-factory.skill
46K /mnt/skills/examples/web-artifacts-builder
30K /mnt/skills/examples/web-artifacts-builder.skill
3.9M /mnt/skills/public
1.1M /mnt/skills/public/docx
158K /mnt/skills/public/docx.skill
15K /mnt/skills/public/file-reading
6.0K /mnt/skills/public/file-reading.skill
19K /mnt/skills/public/frontend-design
8.0K /mnt/skills/public/frontend-design.skill
60K /mnt/skills/public/pdf
19K /mnt/skills/public/pdf-reading
8.0K /mnt/skills/public/pdf-reading.skill
22K /mnt/skills/public/pdf.skill
1.1M /mnt/skills/public/pptx
162K /mnt/skills/public/pptx.skill
3.0K /mnt/skills/public/product-self-knowledge
1.5K /mnt/skills/public/product-self-knowledge.skill
1.1M /mnt/skills/public/xlsx
151K /mnt/skills/public/xlsx.skill

ስለጠፋሁ sorry አሁንም ትንሽ ልቆይ እችላለሁ for months ምናምን ብዙ ስራዎችን እየሰራሁ ስለሆነ ነው

Ayizuachu bekrbu bzu neger enseralen ezih yemtkoyu ene amechi gze layi ayidelehum leziya new zm yalkut abren ezih mdr lay yemayitamenu negerochn enseralen

I.m back 🫶🫶🫶

Eshetu melese gemini chat history

•የቢጫው ፈካ ጉዞ
https://gemini.google.com/share/84afcbadd828

•የብርሃን መምጣት
https://gemini.google.com/share/bbe55ed0913c

•The Arrival of Berhan
https://gemini.google.com/share/20e1f1767a97

•Casual Greeting and Response
https://gemini.google.com/share/b134cf926afb

source => eshetu course video record

••ባዮሎጂካል ኮምፒውቲንግ (Biological Computing): ሳይንቲስቶች በላቦራቶሪ ውስጥ የሰው ልጅ የአእምሮ ሴሎችን (Neurons) በመጠቀም የኮምፒውተር ፕሮሰሲንግ ለማከናወን እየሞከሩ ነው.

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