Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DA3CD23421936274437C2C0347A5B3BD1A6DA5FFAE70E014EDCCBEB6AF9C90745A259 |
|
CONTENT
ssdeep
|
1536:cViktpR4nXBKpSpFl26vX61znIzHz0EKqDX:uUMy6FIzHgzqr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313ec6d39921ace |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
524c69c96a222626 |
|
VISUAL
wHash
|
0024bc7ca600ffff |
|
VISUAL
colorHash
|
33001c00040 |
|
VISUAL
cropResistant
|
0b4000c060600022,0200006060600042,020000e060600042,820080c0a0800082,86c9262624326696,52546d69d9686a22 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.