Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D2AB32A2107A370193D1D572A16B2A72F7434FE7860921E2FD83AD07E7D14EF27629 |
|
CONTENT
ssdeep
|
768:weAJg5MvFm5s5ErUnBav7sOy2+y9BH4c1Ie:c1D5pnBav7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d607b430bd34e5c6 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
94ccccd0d88c8c00 |
|
VISUAL
wHash
|
467c74006044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc0d8d88c8c |
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.