Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E2163236504AC3E2523C6D9B7A57B270695DA58DF0E2A00A6DD837C9FCAE50FC263C4 |
|
CONTENT
ssdeep
|
24:hR/Y9s62PRhMZoUGdjojhllREpDanuVqQ+vZysNvrs/5DPIeWiUqzX:Tws62Zgoj4EonNZ5Nv8JnRX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f170f070f |
|
VISUAL
aHash
|
3f1f1f8f1e9fbf1f |
|
VISUAL
dHash
|
607a2c0a382a633b |
|
VISUAL
wHash
|
000f678e1e9e9f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
607a2c0a382a633b |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)