Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D633BE6B944FD12257320A7609F9085B2F62C1BA80D1E10B5CCDACB1AFE0635577BE7 |
|
CONTENT
ssdeep
|
768:4T0TQH7YFcUN1TyQgVT+rXf59VV4wvLz9BZZwfpVd/j77GD59VL3//cWT3fBNll7:XDfgVj9zQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c41b671b53673866 |
|
VISUAL
aHash
|
00f3f3ffffdff372 |
|
VISUAL
dHash
|
d4e4e4e4f4b4e6e6 |
|
VISUAL
wHash
|
0030727effd77230 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
f4e4e4f4b4a6e6e6,dddcdd3ad8f0f4f4,6b93111131313191,603161243c38395f,7f054dd4e40145ff,e3a343635b5f193a |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.