Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103328033A600DD2A4EA792C8F2C49588505DD345FB314CCBA1A491FF7BD4EF129A87AD |
|
CONTENT
ssdeep
|
192:pvqIjsduyqxWsq2McnthWeNWb0YzXkBVfMmUU8VCoqrNG:1qaQZzKYzXkBVfMmUFCoqrNG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94db6b24b4ab2b2 |
|
VISUAL
aHash
|
f8f8f8f8f8ffffff |
|
VISUAL
dHash
|
d2d2d2d213000300 |
|
VISUAL
wHash
|
4000000000000000 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
d2d2d2d213000300,a282e23a3baa86ba,fef8b3fcf469fefc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.