Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1992203F1D050D936476341C5BA76BBAF77E2C289CF120A2413F843AE67CEEA199124DD |
|
CONTENT
ssdeep
|
192:XVcfzk9zYhhIc/A8iI4p6iAZu9ZNg6ZN5ZcfrKzYU8F:l/GIc417p6vZ4ZpZDZ2KzB8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3738cce227303d9 |
|
VISUAL
aHash
|
ffffc3c3e7ffff7f |
|
VISUAL
dHash
|
0a189e9e0c480ec0 |
|
VISUAL
wHash
|
00fbc3c3c0c0c03c |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0a189e9e0c480ec0,fffffcfdfcfdcdfd |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)