Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129E10CE0D144ED3B435386E9A7BA6B4B77D1C349CF070A4493F883AB5BCAC60CB15699 |
|
CONTENT
ssdeep
|
96:Tk0Q1Nn7D71tVt8v67McddtrwaG34wvFh/eJXSHFGeFXlfz/4kYfq2J:QhXn7D71Tt8iIGdxwaG/m8rvfzLcqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b31ccc66cc49c3 |
|
VISUAL
aHash
|
ffffffefffffff00 |
|
VISUAL
dHash
|
2008180c0c300000 |
|
VISUAL
wHash
|
1c042424c3d3ff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2008080c0c000000,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.