Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132E110E0C454EE37476386D99BF56F0B73D1C349CB43094093F883AB6BCACA0DA255A9 |
|
CONTENT
ssdeep
|
96:Tk7PJSzeFvMSfuSTCctutQ0SS8lWyt7jjxFDSXTNwvFAelXVz/gpYfYfGJ:Q7PJSzeFdjWcktQ/WyxjEknzssuA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d22dada205d276da |
|
VISUAL
aHash
|
7f587c3cfcf4fc7c |
|
VISUAL
dHash
|
b292a9edadad95a5 |
|
VISUAL
wHash
|
7f00586c7cf4fc24 |
|
VISUAL
colorHash
|
07200030001 |
|
VISUAL
cropResistant
|
b292a9edadad95a5,0303030303030303 |
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.
Pages with identical visual appearance (based on perceptual hash)