Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B521264407764FF314262CCBFD4F7AEA2AA4365408F092550E86965C4AC5E3BE9F38F |
|
CONTENT
ssdeep
|
384:2jJrct+jkLNOSmzFFjzzz3zzzUuZzdtS+TMR0O:2jJrct+GNOPfj3D3ZJtoRf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6ceb8b0c3c6bcb0 |
|
VISUAL
aHash
|
ff103c3c20000000 |
|
VISUAL
dHash
|
34606561491547b0 |
|
VISUAL
wHash
|
ff3c3c3c240420ff |
|
VISUAL
colorHash
|
09007000000 |
|
VISUAL
cropResistant
|
2008184d4d4d0c00,0000101010100000,7060646149154bb2 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.