Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156A2651321081996C2F34DD9985036446282E70FC8718770D6FC4E7F1BE6AA6B7A9F7E |
|
CONTENT
ssdeep
|
384:T9laee3Ge3xe3OKIOxm8xVg+zgLQRQgJtIErShfG:EXQeO9FRIESG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2a55a8a25528f77 |
|
VISUAL
aHash
|
7fe7ffc3c3fcfcfc |
|
VISUAL
dHash
|
84961c9696000808 |
|
VISUAL
wHash
|
00c3c3c302383030 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
84961c9696000808,110c323232081041,49c9d694d8a491cc |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.