Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFE28871A1006B3B019392CAB291AB5EE3E3534EE74E042653FD832D4BE7D50E92775E |
|
CONTENT
ssdeep
|
768:rYQewOxI/fC23GAmBL8n88rNt31fABwvmBtz+0cFJRFGLpG7qj7sOy2+y9BH4crl:r1OxI/fC23GAmBL8n88rNt31fABwvmBJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f81a9d69d6c1 |
|
VISUAL
aHash
|
000060000000ffff |
|
VISUAL
dHash
|
d8ccc8c8ec0cc300 |
|
VISUAL
wHash
|
006470603e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04609696868e3004,0080800058988000,d8ccc8c8c8ecacc3 |
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.