Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CC371D55628438CA04B8A7DEF2FFE05131FB5AABA544A80294EC26CD5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:OZ0RQ7HG/gfxLa7mlFsR8MLqc1GFsR8MLqcMv:E0RQ7HAgazLm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33323a6a6a6a333 |
|
VISUAL
aHash
|
ff0000ffffffffff |
|
VISUAL
dHash
|
0010100000000000 |
|
VISUAL
wHash
|
0700003c00000000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
000c080008000000,0000000000000000,0008101010100800 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.