Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D96382762182AA7F218385E18B58F799D3C2D60BC7A70946DBD8831F73C7DE19C2B164 |
|
CONTENT
ssdeep
|
1536:7IO0Dt3xxsp5cj/0+7E81q3n0abBmGs0VtGbk:7Ew32O0yX5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e052b696346eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
ccc183339c33279e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
219a98dad1dd989a,4a46e45b6a6465a0,38789d9c8c8c8d8f,82a29a869696a882,c51a382703009696,8ccfe9d7832b3397 |
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.