Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EE2C6319049683F069B73E1FB71A35F62958389EA434329C2FD874D0BEBC94EE464D9 |
|
CONTENT
ssdeep
|
384:wpII2kp8IIIII9hlBMHGG9bU0iHeZBWp18c8WYap4sWR+eT1SFXEea4HQ8pW:aIIIIIIIIdGFU0iHeDWpyNapVWR+HXap |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3711c1c39e3c6 |
|
VISUAL
aHash
|
00e5f77b3f181810 |
|
VISUAL
dHash
|
c6cdcbf3e5e1f0e0 |
|
VISUAL
wHash
|
00e5ffdf7f181810 |
|
VISUAL
colorHash
|
1a038000000 |
|
VISUAL
cropResistant
|
f3e3d3cacd988c8c,0000c8d4c4000000,c6cdcbf3e5e1f0e0 |
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)