Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12734FBC381A826FA0CE713D54118132EB9CAF16EE99951F6D2FFC3A412E6CC179614DB |
|
CONTENT
ssdeep
|
3072:OQB1deMz45eZB3/glRY7RDY8w3B5z5in2M5rCjAXu7:OQBXeMz45eZMRY7RM8GB5z5VQrCjA+7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2d386bc26b383a |
|
VISUAL
aHash
|
81dbcbfbff83c3ff |
|
VISUAL
dHash
|
1716369616333636 |
|
VISUAL
wHash
|
818383fbc381c3df |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
1716369616333636 |
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.