Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DE2D9317110763B01ABD2CDB3A2F71BA2E39249EB47044192FD836D0BE7D59DA3356A |
|
CONTENT
ssdeep
|
768:pSky5NCkUQ5IGVT3I1bD7sOy2+y9BH4cLIe:iUOpVO7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc38ad46c3c3 |
|
VISUAL
aHash
|
000060000000ffff |
|
VISUAL
dHash
|
90ccccc2cacccc00 |
|
VISUAL
wHash
|
0064f4707024ffff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
8c0080025cd88000,d08cccc2c2c8cccc |
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.