Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1C12773A114D82A1AF7D38DF6C0F5989157C356F63048C3A2C4613E6AC0EF595A336E |
|
CONTENT
ssdeep
|
96:B41G3jCeaR1sYE/fMmORR1E8VConzSrcltRl:ArdE/fMmUU8VCoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f55d4d1070ee82e |
|
VISUAL
aHash
|
fc3e1f3f1fff1f9e |
|
VISUAL
dHash
|
8ce4377070826434 |
|
VISUAL
wHash
|
7c7e03030fff1702 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
8ce4377070826434,45453b98c4e45145 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)