Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16733777611466A2F008342E5A71DEB2BD3C5C609CB739E47F6ECC33765CADA0ED26168 |
|
CONTENT
ssdeep
|
768:lw8rA6OcUc6l8A5j0LQe3JCSU04uq1/x8rA6OcUc6l8A5j0LQe3JCSU04uq1/ohw:HzXh3F0YBsed5+th70rxTAa8T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
963c6d63c1c9d31c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
c32f6cdccccc3348 |
|
VISUAL
wHash
|
00007e7e7e7e00ff |
|
VISUAL
colorHash
|
07083000000 |
|
VISUAL
cropResistant
|
ee8caeb2be8c8e32,0001000000002054,d32f2cccd4cccc33,452549d5e5710145 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)