Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBE10EF0D054ED37435385D9A7BA6B0B77D1C349CF07094493F883AB6BDAC60CA15599 |
|
CONTENT
ssdeep
|
96:TkunbzD71tDlt8v67McdtGyt7h5wvFkeBXMHFJXoWXez/4GgYff2J:QunbzD715lt8iIGtGyvaOSzocfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34c4ce6591999 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0808104a08300800 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00080808100c0c00,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)