Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9624421F511919F0277C7CCF500EE4865AFB20FD68989B4F6BC06A46FD7CB8B9261A4 |
|
CONTENT
ssdeep
|
192:mOglOKwloSOZFQVOZFQ2pOZFjVBtP/WTM5UnWfloINWTM5UnWflvmNWTM5UnWflI:S5t3WZYDgl6VTePW3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e68633cc33666666 |
|
VISUAL
aHash
|
e7ffe7e7f7f3e7e7 |
|
VISUAL
dHash
|
4d304d4c44354c4d |
|
VISUAL
wHash
|
c0e0e4c0e7f7c3c3 |
|
VISUAL
colorHash
|
07000008640 |
|
VISUAL
cropResistant
|
4d304d4c44354c4d,614e860e09c64601 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)