Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11902D671E0109C2338338BC3EAE427556792829DD3451DD9B6E88B1DDA98CE7F1872B8 |
|
CONTENT
ssdeep
|
192:Q9TYvgBV7P717meRfsV7OL1QV7+LLCB5Yxtg:6BV3QGsVeiVyibYx2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131319aceccccce |
|
VISUAL
aHash
|
c7c7c3ffe7ffffff |
|
VISUAL
dHash
|
9e9e1e060c000000 |
|
VISUAL
wHash
|
03030303033f0f0f |
|
VISUAL
colorHash
|
07006003000 |
|
VISUAL
cropResistant
|
9e9e1e060c000000 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.