[Tolerant]

i check this

[BootyCozy]

thanks

[looly]

Target: UNHAS.AC.ID 
Records: 99,930 
Date: 2024 
Status: Private / Not Released 

About UNHAS.AC.ID: 
Universitas Hasanuddin (UNHAS) is one of Indonesia’s largest public universities, 
with tens of thousands of students, staff, and faculty. The compromised data 
includes sensitive academic, administrative, and personal information from 
students and employees across multiple faculties (Engineering, Medicine, 
Agriculture, Economics, Postgraduate programs, etc.). 

Dataset Details: 
- Total: ~99,930 rows 
- Data from student emails (@student.unhas.ac.id), staff (@unhas.ac.id), 
  and faculty subdomains (@fe.unhas.ac.id, @Med.unhas.ac.id, @agri.unhas.ac.id, etc.). 
- Passwords include a mix of MD5, bcrypt ($2y$10$), and legacy `$1$` salted hashes. 
- Columns in this dump: 
  id, username, email, password, first_name, last_name, built_in_password, 
  is_admin, remember_token, created_at, updated_at 
- Multiple **admin-level accounts** identified. 
- Includes active student credentials, faculty staff, and system admins. 
- Some records contain creation and update timestamps (dating back to 2020–2022). 

Security Impact: 
- Access to student portals, faculty email accounts, and admin dashboards. 
- Password hashes (MD5 and legacy crypt) are weak and may be cracked. 
- Large-scale exposure of university staff and student identity data. 
- Critical risk for phishing, account takeover, and impersonation. 

─────────────────────────────── 
 
───────────────────────────────

i like your content

[Lopupek]

thankы

[Taufik]

Thanks

[Gaxxy]

i like your content

[prester47]

Target: UNHAS.AC.ID 
Records: 99,930 
Date: 2024 
Status: Private / Not Released 

About UNHAS.AC.ID: 
Universitas Hasanuddin (UNHAS) is one of Indonesia’s largest public universities, 
with tens of thousands of students, staff, and faculty. The compromised data 
includes sensitive academic, administrative, and personal information from 
students and employees across multiple faculties (Engineering, Medicine, 
Agriculture, Economics, Postgraduate programs, etc.). 

Dataset Details: 
- Total: ~99,930 rows 
- Data from student emails (@student.unhas.ac.id), staff (@unhas.ac.id), 
  and faculty subdomains (@fe.unhas.ac.id, @Med.unhas.ac.id, @agri.unhas.ac.id, etc.). 
- Passwords include a mix of MD5, bcrypt ($2y$10$), and legacy `$1$` salted hashes. 
- Columns in this dump: 
  id, username, email, password, first_name, last_name, built_in_password, 
  is_admin, remember_token, created_at, updated_at 
- Multiple **admin-level accounts** identified. 
- Includes active student credentials, faculty staff, and system admins. 
- Some records contain creation and update timestamps (dating back to 2020–2022). 

Security Impact: 
- Access to student portals, faculty email accounts, and admin dashboards. 
- Password hashes (MD5 and legacy crypt) are weak and may be cracked. 
- Large-scale exposure of university staff and student identity data. 
- Critical risk for phishing, account takeover, and impersonation. 

─────────────────────────────── 
 
───────────────────────────────

[F4llax]

Target: UNHAS.AC.ID 
Records: 99,930 
Date: 2024 
Status: Private / Not Released 

About UNHAS.AC.ID: 
Universitas Hasanuddin (UNHAS) is one of Indonesia’s largest public universities, 
with tens of thousands of students, staff, and faculty. The compromised data 
includes sensitive academic, administrative, and personal information from 
students and employees across multiple faculties (Engineering, Medicine, 
Agriculture, Economics, Postgraduate programs, etc.). 

Dataset Details: 
- Total: ~99,930 rows 
- Data from student emails (@student.unhas.ac.id), staff (@unhas.ac.id), 
  and faculty subdomains (@fe.unhas.ac.id, @Med.unhas.ac.id, @agri.unhas.ac.id, etc.). 
- Passwords include a mix of MD5, bcrypt ($2y$10$), and legacy `$1$` salted hashes. 
- Columns in this dump: 
  id, username, email, password, first_name, last_name, built_in_password, 
  is_admin, remember_token, created_at, updated_at 
- Multiple **admin-level accounts** identified. 
- Includes active student credentials, faculty staff, and system admins. 
- Some records contain creation and update timestamps (dating back to 2020–2022). 

Security Impact: 
- Access to student portals, faculty email accounts, and admin dashboards. 
- Password hashes (MD5 and legacy crypt) are weak and may be cracked. 
- Large-scale exposure of university staff and student identity data. 
- Critical risk for phishing, account takeover, and impersonation. 

─────────────────────────────── 
 
───────────────────────────────

---

(y) thanks mate

[jacarearaujo]

thank youu

[zenpablox]

Target: UNHAS.AC.ID 
Records: 99,930 
Date: 2024 
Status: Private / Not Released 

About UNHAS.AC.ID: 
Universitas Hasanuddin (UNHAS) is one of Indonesia’s largest public universities, 
with tens of thousands of students, staff, and faculty. The compromised data 
includes sensitive academic, administrative, and personal information from 
students and employees across multiple faculties (Engineering, Medicine, 
Agriculture, Economics, Postgraduate programs, etc.). 

Dataset Details: 
- Total: ~99,930 rows 
- Data from student emails (@student.unhas.ac.id), staff (@unhas.ac.id), 
  and faculty subdomains (@fe.unhas.ac.id, @Med.unhas.ac.id, @agri.unhas.ac.id, etc.). 
- Passwords include a mix of MD5, bcrypt ($2y$10$), and legacy `$1$` salted hashes. 
- Columns in this dump: 
  id, username, email, password, first_name, last_name, built_in_password, 
  is_admin, remember_token, created_at, updated_at 
- Multiple **admin-level accounts** identified. 
- Includes active student credentials, faculty staff, and system admins. 
- Some records contain creation and update timestamps (dating back to 2020–2022). 

Security Impact: 
- Access to student portals, faculty email accounts, and admin dashboards. 
- Password hashes (MD5 and legacy crypt) are weak and may be cracked. 
- Large-scale exposure of university staff and student identity data. 
- Critical risk for phishing, account takeover, and impersonation. 

─────────────────────────────── 
 
───────────────────────────────

thanks sir so much