Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CD27576E1942A3B42A7C2C9B320671EB2D3838EEB96691163FC879D0FD7D10DD53426 |
|
CONTENT
ssdeep
|
384:Oe/GLzHTiRkBVKxxvXbzuOhKQrWgV6TyqvUjefIYsOy2+y9BH4ciUIe:Oe/GLza7bz0BvxUj07sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372fc389869c5c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc0c9cdcd9300 |
|
VISUAL
wHash
|
00c4f0602f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc8c4c9cdcd0b |
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.
Pages with identical visual appearance (based on perceptual hash)