Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4236276608D6A23067A83D06397BF67B3C48185DA278B8983FC439D16CCEF0ED76516 |
|
CONTENT
ssdeep
|
768:kCIIK3K44DNQzLaNj9zHBIVt5bWZ+qwvFdscf:1IIK3rUNQmt9zHBIJbKwvfs8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4ce849b9b249bcc |
|
VISUAL
aHash
|
ffc3c3c3efc7c3c3 |
|
VISUAL
dHash
|
098686861e9e8696 |
|
VISUAL
wHash
|
87c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06400010000 |
|
VISUAL
cropResistant
|
098686861e9e8696,2c28321272726070,899372f8e8d4d479,174995b0ba56311f |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.