Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CFB25070D111A83B10A7E2C5D7392B2B22E1528BCB03070553F4977EAFEAD66ED274D9 |
|
CONTENT
ssdeep
|
384:Hvd8XYpE5zWN/iOzY1zz8vzqCz3i72zuZzCUczCOBboslOroUJuStR9x4RTtnovY:Hvd8XYpSzW9iOzY1zz8vzqCz3i72zuZe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3b310e454f6343 |
|
VISUAL
aHash
|
00dfefffffffffe7 |
|
VISUAL
dHash
|
1b301f3606122216 |
|
VISUAL
wHash
|
008b83f3f3a3d7c2 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3d1b1e2606132216,00430b4b4b1b0100 |
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 5566 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)