Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B141A22504C386B573E466EE846B74C43AB9286DD6D4D65FB28C8F88D4FDC3A831778 |
|
CONTENT
ssdeep
|
3072:GeFReaYDL0tO7rRiu4ruDYlZa2Su4opiOpAzid0XF6trMxa:GeFRdYDL1iu4ruDYe2Su4opiOpAzid0Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc3366cc |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
00104cb2b20c0000 |
|
VISUAL
wHash
|
c0c0e0f818000000 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8aa2e0c28aa88585,00104cb2b20c0000 |
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 196 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)