Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199D2547340869E3F0253C3D06721BE5CE1C39309DBC85118F7E8674B6EA7DA1ED26A99 |
|
CONTENT
ssdeep
|
768:n/jeMmWhbxtDZ3Z/hBDdnDjD5f1FzHJzN59V/9Bjl7xDj0DkP8NDzGYnlWz0WsIM:nt0Y03 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b347cc3067c63273 |
|
VISUAL
aHash
|
e6cfe7f18387ffff |
|
VISUAL
dHash
|
0e3b4c4b0f1c461e |
|
VISUAL
wHash
|
8683a7a1878787e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e3b4c4b0f1c461e,b058d9c9c3d65c2d |
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)