Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3533BE43751F2244A7301E741AF3455733DB62B181D09A0B269E9EAE6B84F6B017FCD |
|
CONTENT
ssdeep
|
768:FFHYjWyPXId1NCTpihGMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:/jy/IdApkzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1659e8e61619b66 |
|
VISUAL
aHash
|
ffffc3c3c3ffffff |
|
VISUAL
dHash
|
4e208e9e8618161c |
|
VISUAL
wHash
|
00dfc3c3c3c3c3c7 |
|
VISUAL
colorHash
|
07000600030 |
|
VISUAL
cropResistant
|
4e208e9e8618161c,8b460c8c8c885c59 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.