Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD936933415935274437C6D030A95B3BE2E69D5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:OJebKJIz2XLz4NP3+mZY9svblTOCVrC32nZfJrX7BBXFL:gLz4NP/y9svbliCdPnbbZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2658f32393934cd |
|
VISUAL
aHash
|
06747040644e7c7e |
|
VISUAL
dHash
|
ccc8c0caccccc1d0 |
|
VISUAL
wHash
|
467c7060646e7c7e |
|
VISUAL
colorHash
|
38038000000 |
|
VISUAL
cropResistant
|
ccc8c0caccccc1d0 |
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.