Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E251CDA09059BC335153E1E8A6E5AA8B36D2C705CAC7390866F4C3AC1EE3C59DF57229 |
|
CONTENT
ssdeep
|
48:LIVFmeEMhzazaEd7vFxzOiyXHx2HVrxZa26h9uilGy6BLPHwut16:LKmDM8zndz7eHxOVdAbh9ui0BFPwu6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83f67f09090999fc |
|
VISUAL
aHash
|
3f3f3f3f3f3f3f3f |
|
VISUAL
dHash
|
d0ccccdad0d0d0d0 |
|
VISUAL
wHash
|
3f273f3f3f300000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
a09c989280808080,f184acb6b6ac84f3,0e71710e20000000 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)