Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEA296B87314407E449B87E4DA21F558718FF2AEE5AA911491ACC1D06FC3FE4EF16AB0 |
|
CONTENT
ssdeep
|
384:7bC0beNebXb6b1bUbRb7b5WVHUEUh1GDv/3papkYMOgViA2pU3ifpi5Qi5nQDizw:7d1GTOy24ifpiKiBQDizifihy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94b6b4baaaaa4b4 |
|
VISUAL
aHash
|
0908ff7f7e7effff |
|
VISUAL
dHash
|
3b3380a280800904 |
|
VISUAL
wHash
|
0000fe7e7e7e00fd |
|
VISUAL
colorHash
|
07200000480 |
|
VISUAL
cropResistant
|
3b3380a280800904 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.