Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164D2C572E0002B3B129BD3CAB741F72EA6D38349DB46091553F9935E8BD7E90D96342B |
|
CONTENT
ssdeep
|
768:0cSky5Nh7x6zo/Q0FEf1KfBnQ4T7sOy2+y9BH4c1Ie:RzoY0qSNzT7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342fc38b929d5c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98cccccacc2c9300 |
|
VISUAL
wHash
|
00fc74780600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,98ccccc8cacc2c88 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)