Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199640978321A263EA2334AE1F656675F70FA831BCA0B9904D37800A53BDBCDDD537694 |
|
CONTENT
ssdeep
|
3072:dEeGwer5JCqriyR/rQ+/S+D5+yGzqC12j+dwzefRJM2cxy:qX5+yQmj++efRJM2cxy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333ccdc33cc8c |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
e0d0f0f0b2b0ccf0 |
|
VISUAL
wHash
|
003c7e7e7e7e3c00 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
800020164e0c1080,e0d0f0f0b2b0ccf0 |
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 822 techniques to evade detection by security scanners and make reverse engineering more difficult.