Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C138521A901EE2741CB55C8A6725B6A63F94346C2131A98FEF5C3F94BEEC2CDB33444 |
|
CONTENT
ssdeep
|
768:FsIx/jJdZm/za8zVG+DBOxfp59NjTHWOpbfYqMNGTUf7d:FsIxtdZmO8zVzBOXpbfYHn7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed4c12566d674c63 |
|
VISUAL
aHash
|
00cbfbf1f3ffefcf |
|
VISUAL
dHash
|
cc1213a333321c1a |
|
VISUAL
wHash
|
008ad35111dbefcf |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1212b33332311e1a,c4dcdbedc212121a,3371418b9859233b,2b0b116343238741 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.