Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4235A726332B8B883DB91DDF7382E42B2D25889F9C74554B5C95ACD23C3C8161977B4 |
|
CONTENT
ssdeep
|
768:a9+EsZx8/G8KtRF47DawQMIBHwyMIBhwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:a9+EsZ/8KfO7DawQMIBHwyMIBhwZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb9195c5c5c4c5c4 |
|
VISUAL
aHash
|
ff81818181818181 |
|
VISUAL
dHash
|
1b394d496149655d |
|
VISUAL
wHash
|
ff8d9da59181818b |
|
VISUAL
colorHash
|
3a200030000 |
|
VISUAL
cropResistant
|
1b394d496149655d,58ac8ca8b842acca |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.