Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158C28471E114673B02B3C2D9B3A1BB1E62D3828DC78A191653FDC36D1BE7E40AE27156 |
|
CONTENT
ssdeep
|
768:me4dkSx4w1znKeCxap7sOy2+y9BH4crIe:OkypNC47sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3069633bd3cb4a4 |
|
VISUAL
aHash
|
003400000000ffff |
|
VISUAL
dHash
|
dcc9e4c0c8c8c800 |
|
VISUAL
wHash
|
067c34206064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0c00980258988000,dcc9e8e4c8c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)