Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B6344B190B59537028EF2D0B636572F76C3C78BD5864BE2A2FC43681AC5ED1DE2350A |
|
CONTENT
ssdeep
|
1536:2TqxMkvdqI1Mq6CKFbQd+rsu3xMkvdqI1Mq6CKl2twr6CWmCSLSd+x31R3f2NNma:dYuiqqmc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93796d3367983047 |
|
VISUAL
aHash
|
00383c3c340c3c3c |
|
VISUAL
dHash
|
d970647d69297965 |
|
VISUAL
wHash
|
243c3c3c3c0c7e7c |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
d970647d69297965 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.