Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16683C7715948097F990346CEFEB0EB92E2E7F107DB6B448EA1AD438C43C6D8588DA764 |
|
CONTENT
ssdeep
|
1536:hjfRg6efd6XF1hCfHBvlNZlrSlDJlOAl2Edl3MlPJhlHNlY/lkCCl6/lyDlvBled:ReYMNl7lml1lHlDl8lHltlUlFClel+lG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f28926dd998c8cb5 |
|
VISUAL
aHash
|
7fc7c7fefee6e6e6 |
|
VISUAL
dHash
|
f0cdcdb0912d2c4c |
|
VISUAL
wHash
|
7e64646cece4e4e0 |
|
VISUAL
colorHash
|
07003000040 |
|
VISUAL
cropResistant
|
f0cdcdb0912d2c4c,45c9c5b1f17999d9,d0905555b7939392,311737351d253535 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)