Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F927530C0A16A2F15A7D2C0FE30EB5E635342C9DA134F5D56F8926FAECED918C161E6 |
|
CONTENT
ssdeep
|
384:W2ycCbZG9iVPuZ++DgHgDgELmg1xNoxORl8E:XycC1Uu+DJLmg1x2xOL8E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7d638993861c766 |
|
VISUAL
aHash
|
003c3c3c3c3c0000 |
|
VISUAL
dHash
|
cce0e8e8e8e8e096 |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
1a018008600 |
|
VISUAL
cropResistant
|
a6938d8080808084,cce0e8e8e8e8e096 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.