Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9F29672A0449A7F02AB86C7B7B66B0EE2D7D24ACB531E5663F4830D13D7E90CD31561 |
|
CONTENT
ssdeep
|
768:yulmy+IZ9fPGfJmqxFZOt9B/JH3xVzkgfq:5Uy+ITfEJmqxPurJH3xdkgy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
802a7fc9d3b43696 |
|
VISUAL
aHash
|
010107077f7fdfff |
|
VISUAL
dHash
|
e3c3cfdcd9b2338c |
|
VISUAL
wHash
|
000103073f1fdfff |
|
VISUAL
colorHash
|
07000c00000 |
|
VISUAL
cropResistant
|
c3c3cfdcd9b2338c,0008046870702004,ffffffffffff77f1,10090d1933153372 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.