Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17253343C73C1563550CB87F2E5949F29D29DCF9ADB27AE8BF2ACC2471686C458F42260 |
|
CONTENT
ssdeep
|
768:LhsFfwqZWFbfXHwo4xBg28U4Nx1v3PZtGEWb2XZBe5sV:0fVZNix1v3PiEWbc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0b2c2ead2d2 |
|
VISUAL
aHash
|
ff0b0b0303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79b90 |
|
VISUAL
wHash
|
ff1b1b3b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdff3d3d3d7d7b3,2040838b73a36393,dff3d3d3d7d39a90 |
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)