Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A2A5356118693751AB83CD7272A33ED4E7424EC6960819F2F883AE57FBD94DD2301B |
|
CONTENT
ssdeep
|
384:BNy5NRU1WhkHG25tuZT9bYkS2HXOgIGI2XMnqt0AIVOZhRQewBx1IIIIIM4knfwi:BNy5NCitGIIIIIMTnfwXemYK5jHI7sO9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bec30b049f586 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1d63434bec3c7100 |
|
VISUAL
wHash
|
00f1f9800f00ffff |
|
VISUAL
colorHash
|
39001200180 |
|
VISUAL
cropResistant
|
0060169686164800,6900a00170b08000,9d0b434b4bcc3c71 |
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.