Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100434BE83651F2255E7342E740AF3416733D652F2C0C49A0E229EDDAE5B44EAB067FC9 |
|
CONTENT
ssdeep
|
768:FtI+YjlvCsVW5KTpi3GMB8v5Wv+M4yTMHDIv6RGz48KBoUzqH4+K+uQG/m4:3IRC2WCpyzev0WyTaJDQU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce9e2161cec699 |
|
VISUAL
aHash
|
ffffffc3c3c3ffef |
|
VISUAL
dHash
|
4c100c8e9e96180e |
|
VISUAL
wHash
|
00dfc7c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
4c100c8e9e96180e,3fdfdf8f64e6d0e0,98870c1c6c28626a |
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.