Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199435323E793191390B791C4F073578D2696868DC7130BB176BD67BAE9CFCB63612288 |
|
CONTENT
ssdeep
|
1536:zCPoP8XeAWQFGeA0e3QAwu1N57rgOpTsLeve3he8H1eoWQGeeLweeMxedeaNetyp:QG57rgOpoNT0FDFy3cNQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a46c699bb39092cf |
|
VISUAL
aHash
|
c381d3c7e7c7ffc3 |
|
VISUAL
dHash
|
0b27278e0f9f178e |
|
VISUAL
wHash
|
8181c3c3ffc3c3c3 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
0b27278e0f9f178e,495924f131262b22,8cd4945454dc5d11,c9a9a6a1c959db49 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.