Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2E2E7649040913B9F1B19E5F4611F3A39FAE309CB22095965FD8DD8EFE6C40DE2E478 |
|
CONTENT
ssdeep
|
768:fIIIzSquye+AI3SmsXBJqG0fMh9KOE90Dw8deIKPArYe073LzrdlaBXIWL4FteEZ:gII+dPXDqGN3zzYzzaXmt30X/ZJjlLM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696696969694d5c |
|
VISUAL
aHash
|
00662e0606000000 |
|
VISUAL
dHash
|
9ccccccc8c443361 |
|
VISUAL
wHash
|
007e7e7e7e7e1800 |
|
VISUAL
colorHash
|
08007000000 |
|
VISUAL
cropResistant
|
a8e8b2b2e0ba228a,9ccccccc8c443361 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)