Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185245D7032D6F96202E782D5507B1007F37D0D6A941E5960B3A4ECEBB5A8C8ED0B7FA5 |
|
CONTENT
ssdeep
|
3072:jY1+XRDQ9cyvVU5A3qtkm8NyXJm1TswWG/zUMXN4UT16a:jQccVU54qC9yXJmJrWG/zUMN4UTca |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cdcc639638993b38 |
|
VISUAL
aHash
|
30701818183e3e40 |
|
VISUAL
dHash
|
e4e0f030316ccc81 |
|
VISUAL
wHash
|
70783c3c387e7e60 |
|
VISUAL
colorHash
|
30000030000 |
|
VISUAL
cropResistant
|
dceab65cdd866469,e4e0f030316ccc81 |
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 2386 techniques to evade detection by security scanners and make reverse engineering more difficult.