Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE6208F092545F799003D3E4EA266A367A8750EEC743D65CC3F15798A6D2DD8CD8CC84 |
|
CONTENT
ssdeep
|
384:iHB6FB6d3SBomKKd2UI3hCvzlKtKJ5xmrwaOck3J:M6b6yKCbsE6UN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
890166775d5d6627 |
|
VISUAL
aHash
|
007f183cbd100000 |
|
VISUAL
dHash
|
08ccf0b2b2200029 |
|
VISUAL
wHash
|
0027003cffffff00 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
a2e0aa8abab08e8e,08ccf0b2b2200029 |
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 157 techniques to evade detection by security scanners and make reverse engineering more difficult.