Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0C382D55618038CA14BD97DEF2FFE05131FB1AABA548A802A4EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:Mv0RQ7H+7SJDahbalFsR8MLqcvGFsR8MLqcMF0:60RQ7Hcea9rJt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aced939506d433d2 |
|
VISUAL
aHash
|
ff81818181c3ff00 |
|
VISUAL
dHash
|
2b2333232333c811 |
|
VISUAL
wHash
|
ffc1819383c3ff00 |
|
VISUAL
colorHash
|
16003000180 |
|
VISUAL
cropResistant
|
2f23332323232380,4d4f39494d154965,80e16960656466e1,0008111015111500 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.