Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5430CE93855B016477380E390BF2A8AB339182FB91D45A0A174DFF571B84E5606BF8F |
|
CONTENT
ssdeep
|
1536:UFJe4dFebH+ebF4eJP7eW7e+kyOloQzZs8oWQbp:vJk9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1f0710fe5cef00c |
|
VISUAL
aHash
|
c3c3cfef03071fc7 |
|
VISUAL
dHash
|
9696961e865f691c |
|
VISUAL
wHash
|
c3c7c7c303051fc7 |
|
VISUAL
colorHash
|
07000040400 |
|
VISUAL
cropResistant
|
9696961e865f691c |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.