Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C234B726322B86843DB92EEF7382946B2D6589DF8C74414F5C95ACE23C3CC06197BB4 |
|
CONTENT
ssdeep
|
768:aIJ7+EsZx8/G8V4QCDathMmBZt1MmBjUcix+y9dQpUDF1E56ITmHDLBABW8KPqD1:aIJ7+EsZ/8eQCDathMmBZt1MmBjUXx+j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be6b6b6f6a848190 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
717120252f2b2d3d |
|
VISUAL
wHash
|
00008fdf8f839fcf |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
717120252f2b2d3d,4cb2b230320c3030 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.