Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156D2B5317010263F119783C9B762F35EA2E39249DB8A0D1563FC875E4BDBE90DE2356A |
|
CONTENT
ssdeep
|
768:aeFy5N0ttnofOBxwE5w6UTLOBuuZrTRTht8HOFUvEiXFtPh151Faj2GSQ/D7sOyK:VznofOBxwE5w6UTLOBuuZrTRTht8HOFB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d138bc29a5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc1c3e3ed2cd300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200d00258d88000,dcc9c3c3c3ed0cd2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.