Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14373A5F284F48037078EF5E075756B1F72C3879BD5460BE2E6E843686E8ADC1AE1351A |
|
CONTENT
ssdeep
|
1536:7IZRG3zoYkGRzP8EFd+VG3gfDZRG3zoYkGRzP8EX2sxzq/LOE8JWRMzPq/JwJTYy:iJy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e01f130f5e71662d |
|
VISUAL
aHash
|
0003c3c3c3c3c3c3 |
|
VISUAL
dHash
|
49168e8686869696 |
|
VISUAL
wHash
|
00ffc3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0e0002c0000 |
|
VISUAL
cropResistant
|
d896942ab696f84a,cedadb4eccd19696,1c8e6e06d9d94932,49168e8686869696,a7ab395572305c28,2b1751b195f27050 |
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 150 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)