Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1988175A4C0441CBF2123D2F8BBB1B92192D6C015C7925F8092FC535E6BFADD4C8DA661 |
|
CONTENT
ssdeep
|
96:P8JUmqo67C1s8kIDIkvMVae8jY3hWd+RH4U:P8JN6W1s8k0tvMkVndi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b14c4e9979665999 |
|
VISUAL
aHash
|
00ffe7c3cfcfff00 |
|
VISUAL
dHash
|
102955849a122509 |
|
VISUAL
wHash
|
00bfc3c3cbc3ff00 |
|
VISUAL
colorHash
|
07013000200 |
|
VISUAL
cropResistant
|
102955849a122509 |
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 214 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)