Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157D2A572A210273F0297C3C9B711F71AA3E39249E646181593FCC75D5BE7E60EE2351A |
|
CONTENT
ssdeep
|
768:sjzy5Njy1jJLItI+X9OMaRec7sOy2+y9BH4c1Ie:a1jJUaFMaUc7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53ab039cdc4 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
d8c3c3d8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,d8c9c7c2cccdc90b |
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.