Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170E2C731A009A93F06AB63D6EB71A35EB2C6438AD9130B1A42FCCB5D5FEBC50DD13458 |
|
CONTENT
ssdeep
|
384:2TII0DpIIIII9OlBmoA+GBV4q2ZL6ghFDoAdGQC3OZbQHpW:AII2pIIIII8+Iq2Z+ghhsZ3OZb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e373381c387933 |
|
VISUAL
aHash
|
00f7ffff3f181830 |
|
VISUAL
dHash
|
97cdcbe5ed73f0e0 |
|
VISUAL
wHash
|
00f5fbff3f180830 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000606161480000,97cdcbe5ed73f0e0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)