Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6A36B33411935274437C6D130A59B3BE2E69D5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:VSpy5NAKJXnA/TGLz4NP3+mZY9svblTOCVr1Le5i5S5mEVL:PnA6Lz4NP/y9svbliCdd75S3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3f37d304d2c1e23 |
|
VISUAL
aHash
|
c0ece4787e070338 |
|
VISUAL
dHash
|
0cc8ccc0c8dd0f72 |
|
VISUAL
wHash
|
c0fef4787e070338 |
|
VISUAL
colorHash
|
38e00008000 |
|
VISUAL
cropResistant
|
0cc8ccc0c8dd0f72 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.