Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED11CE3410454D6753174DD065E1AB1D38DF8618DE535A14D6FE83D817F2E828E644A4 |
|
CONTENT
ssdeep
|
12:hRwMy7FUFusSqKIuwamteU6STQmD+hLlg4Da9lVYKNZSq2bfMVbM7oJDVkDXQHWy:hR/CMusS2uAtebuND2L240SDcNUi2ECs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3333cccc339966 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
1008323232320c10 |
|
VISUAL
wHash
|
183c7e7e7e7e2400 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
1008323232320c10 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)