Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B62FD3251A4796B212B1BCB7E615B1B39F7A27DC9731F00E7F88AD0EBE1D65DA00406 |
|
CONTENT
ssdeep
|
384:Aa3iY29iyJ7kebARsU+Blrn0O11FfdLCFeTWLN7UAbywhSR26YdRCiJRJm8GnML+:OOebAx+Blr0O11FfdLCFeTWLN7UlwhST |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96b424adbd456b92 |
|
VISUAL
aHash
|
06062e0eff4c0000 |
|
VISUAL
dHash
|
8c8cccc89899ccec |
|
VISUAL
wHash
|
06066e6effef2600 |
|
VISUAL
colorHash
|
3ac00000000 |
|
VISUAL
cropResistant
|
7e6ef2c4cccc88c1,8c8cccc89899ccec,85270f8d59993b1b |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.