Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE0263F1D054DD364B5282C5BBF63B6BB6B1C345CB420E8453F843AA5BCEC61CA115A9 |
|
CONTENT
ssdeep
|
96:TkMgzYh7MSfuSTytb8v672dt9Uwvl+QeRXSHlMeBX+X/HhlGGAT431:QMgzYhhjul8iKd3o89oX/hlU8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca5ab5b54a4a85b5 |
|
VISUAL
aHash
|
fcd8f8f8d8ffff7f |
|
VISUAL
dHash
|
01313929394001d0 |
|
VISUAL
wHash
|
80c0c0c0c8ffff3f |
|
VISUAL
colorHash
|
07442000040 |
|
VISUAL
cropResistant
|
01313929394001d0,074f972bab934d13 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)