Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A52953318552923051782D9E2527B8EE1D286CBDB0782A171F8C36F5BF2DA1CC57B9D |
|
CONTENT
ssdeep
|
192:18yPd9r0vdg9TkUu4V5BbtH0btH/2iEYF5BxPFgMyfGaIyf:18yPd9Iv/Av6OiEY7BxPFgvfGad |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb43e2a4b4995b4b |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
004c710800000000 |
|
VISUAL
wHash
|
a50000000f0f0f0f |
|
VISUAL
colorHash
|
0e0010001c0 |
|
VISUAL
cropResistant
|
0121000c08000c08,0000000000000000,0832126970790410 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.