Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DB143B24409CD371293D0C4DAF16B0FB2D1D24ECAD74B8A92F4875D9BEBDA1CD52240 |
|
CONTENT
ssdeep
|
48:+HmE3G9CIqk3RqRpaf8FeUikBwN4UnN13qFGTlHjlthOo8HhXdc5e6/CKlSM4JHW:2piO7RURTgi5eYflSM4JbS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6199966331b6659 |
|
VISUAL
aHash
|
00ffe7e7e7e7ffff |
|
VISUAL
dHash
|
0914284d4d4d0c20 |
|
VISUAL
wHash
|
00cf27030000003c |
|
VISUAL
colorHash
|
0e000000e00 |
|
VISUAL
cropResistant
|
08304c4d4d4d0428,0001010101010000,cc4d6955696941f0 |
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 1773 techniques to evade detection by security scanners and make reverse engineering more difficult.