Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2D146E0D451ED3B4753C5D9A7FA6B0B7391C345CB02094493F893BB9BCAC60CA2259D |
|
CONTENT
ssdeep
|
96:TkCWz8B3eSTYOnnSZtGyt7mlwvFEepXkHFTeNXqX/J1Y2ST5J:QCWz8BrMDtGyIGOkEX7ub |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303f8fcf880f8f8 |
|
VISUAL
aHash
|
3f3f3f3f3fffffff |
|
VISUAL
dHash
|
cccddcd8d020c000 |
|
VISUAL
wHash
|
3f273f2f3f000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
cccddcd8d020c000,7136080000000000 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)