Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4D28431A1103A3F029783CE7711EB2EA2D2D349DA4B090643FC975D4BEBE90DD6356A |
|
CONTENT
ssdeep
|
768:Bmy5Nb2ePbQQgBPe4CVXUK7sOy2+y9BH4c1Ie:0ePZgkXX7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81ac7c6b62cb0ec |
|
VISUAL
aHash
|
100c008fdfcffbfe |
|
VISUAL
dHash
|
e0f83c3d3c1c27d0 |
|
VISUAL
wHash
|
1008008fcfcff3fe |
|
VISUAL
colorHash
|
07006000008 |
|
VISUAL
cropResistant
|
e0f83c3d3c1c27d0 |
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.