Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF0212726504ADB70183E3E6E775E76F7686C349CA931786A2F8974C0FC7C9ACC51214 |
|
CONTENT
ssdeep
|
96:+l7PztCvHSxhnuj1QxBO4vRlXvC+BvlPhwRJoTB07t0MyJxyQP3I2:gEPCnu34vRliRJoTLxvt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6dc792923098ce |
|
VISUAL
aHash
|
c3c3c3c3ffffffff |
|
VISUAL
dHash
|
8686969668020000 |
|
VISUAL
wHash
|
0000000000000000 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
8686969668020000,419111e161097171 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)