Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE511170A050396707275CD6B690AB4E3ED7C35DCE67090597FC87DD0BEAC46CA0652C |
|
CONTENT
ssdeep
|
48:TxWocCGLmyny6LeZ4mapaXBLWvNrwlsVqoXwZ4X/k6GvXQI/UxnbdM2ww5:TtbGLmy1yZNS1rwlqwZAa4nbdM9w5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec69571614534f69 |
|
VISUAL
aHash
|
00fffbdfdfffffff |
|
VISUAL
dHash
|
963612b6b6060060 |
|
VISUAL
wHash
|
00c3c3c3c0c0fc9c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
163212b636060060,11a0a0a0aa82a001 |
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)