Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17191C73460226BFFD38349E076917BDA104AE30DCA97E598B2FC12920BD5CE18C53378 |
|
CONTENT
ssdeep
|
96:QabGLQax/28GmtN6T31PjkbsbqUsPcNmRx:PbqQD8ZtN81G0qdo4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cc96b363663ca8c |
|
VISUAL
aHash
|
0018180206060000 |
|
VISUAL
dHash
|
0fb2b23614341ad4 |
|
VISUAL
wHash
|
ffffff1e06060000 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
1e38456700717117,2c2c6ada74e88384,0fb2b23614341ad4 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.