Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D328233E600DD2E4D9B5588F1C4928C525ED345FB3188CAB26091BF7BC5DF069A93AE |
|
CONTENT
ssdeep
|
192:sYcBcCusbp/mjxn1McnthWeNWb1TT/fMmUU8VCoy:rcBcCusbp7TrfMmUFCoy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a25508756adcf6b2 |
|
VISUAL
aHash
|
0000ffffffffff00 |
|
VISUAL
dHash
|
22ce080c4d0c4949 |
|
VISUAL
wHash
|
0000e7e7e7e7ff00 |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
0c0c0c0c4d4d0049,0000000000000000,2020202210e2e21a,054d354949354902 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)