Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13022C617E702037C0B2101D2AF4DB7DFD396109CA356CDD278E9D4352794ABA427ADEA |
|
CONTENT
ssdeep
|
192:trvPfwhR/tZzSY7JQosoq8yomQiVdWVMiIitcEfsL1lxuON1r:trXfwhR/tZz77JQD8yKH+iI+cEEL1lxD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9040bf24d5e43fb5 |
|
VISUAL
aHash
|
0000007c4c00ffff |
|
VISUAL
dHash
|
9eb9dbcc9c3d1c5f |
|
VISUAL
wHash
|
0200647e7e00ffff |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
ae8cee2a2aaa8cae,5c56b33333333233,1a0092cdcd9200d8,3630100c1f1b7b68,9e82bac9c8dc9bbd |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)