Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F43A6335114651B4933C2C4667A173AE382864FD3B30A9467EC87EE1FC6DA3893E71A |
|
CONTENT
ssdeep
|
768:Osrg3wlJhBWjRN53Kl8nKgwRmSoU+xsb+YK59z7OptDh:vrAwlJhARnals6mSobxsb+T37gtDh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9013ef68996e4eb1 |
|
VISUAL
aHash
|
000e0e1e1e50f3ff |
|
VISUAL
dHash
|
d8dc78fc94a4a71c |
|
VISUAL
wHash
|
000e0e1e5e50f7ff |
|
VISUAL
colorHash
|
03200480000 |
|
VISUAL
cropResistant
|
dcd87c94b4a70710,dadcd87c94b4a527 |
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 254 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)