Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAD29131B010363F2297C2C97761F76EE2E39249D746091692FD83AE0B97E94DE1352E |
|
CONTENT
ssdeep
|
384:ugSFy5N3uFPdMa9e3jAkfEuwAWe/qGbhpr5zW9SvEbR4enA1KXjPD3swYa4tBUkn:HSFy5N+KKnA193drl7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acc2d81c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1808c8e0cc0d0f00 |
|
VISUAL
wHash
|
00e4e0303c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408ccc0c0cccd0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)