Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEE2B73091C17A3B40A393D83B63BB0AF355D946CA272B4591FAC64ACF8BD78CC6545E |
|
CONTENT
ssdeep
|
768:GwRhCMxSxoBl+w5Y2z9T159nAkPRjxXFwW1n6iuhmZR:nxSxul+c9T159nAkPRjx1wWoQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c48c3e33e3e1b0b6 |
|
VISUAL
aHash
|
76385e783c001070 |
|
VISUAL
dHash
|
c464b4d2c8d0f4c4 |
|
VISUAL
wHash
|
ff3a5e787c501070 |
|
VISUAL
colorHash
|
30207000000 |
|
VISUAL
cropResistant
|
c464b4d2c8d0f4c4 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.