Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CE234B4D2548D3B00ABE2C6D730BB5F72E2928AD957420207F897785FDBC95EC13899 |
|
CONTENT
ssdeep
|
768:HJIx859RMdAzhHzVgNJzo1zL8vzFCzui72zCW3zCTBbQbglTaHSQzwF1L4cudWb7:G7I1zxhDUfgiI4BcSQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4d661616316d4d |
|
VISUAL
aHash
|
00fbfbffff83cbff |
|
VISUAL
dHash
|
4d221212603f1b23 |
|
VISUAL
wHash
|
00c3dbebbf8181f1 |
|
VISUAL
colorHash
|
07000000640 |
|
VISUAL
cropResistant
|
0632121a201f1b23,4002024b6b020240 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.