Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7D110E1D404ED37475282D5ABB62B0FB6D1C359DF020944A3FC83AF6BDAC50CA22699 |
|
CONTENT
ssdeep
|
96:TkJIfOYReSTJ8v67E6mCLtctGMm5FwyXYHF6OX/X/JDWYBqHST5J:QJIfOYx98ifLKtGMmCVXE0qyb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
890df676168c275d |
|
VISUAL
aHash
|
0018181818ffffff |
|
VISUAL
dHash
|
1433f3b3f08c0000 |
|
VISUAL
wHash
|
0018181818ffffff |
|
VISUAL
colorHash
|
1ee02000000 |
|
VISUAL
cropResistant
|
faf0aaa2a2b2b080,8e00000000000000,34353373f3b3f0c8 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.