Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F53F9E928946056076250D3A0BB3B8AF339182FB91C46D1B4B4CBE571B84F9616BF4F |
|
CONTENT
ssdeep
|
1536:SS80MYQSTnUj6KNLeYcuEjcvwexeXAyOloQzZs8oWQbp:ud9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed9834676732c661 |
|
VISUAL
aHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
dHash
|
1733171717171717 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
1b000000180 |
|
VISUAL
cropResistant
|
0202020202020202,8080808080808081,69f0b059a1a15561 |
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 476 techniques to evade detection by security scanners and make reverse engineering more difficult.