Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DF285211362197F605386FDBAE5B769A5BB825DC61FDC2CE7BC025163CAC84EC23358 |
|
CONTENT
ssdeep
|
768:+GUN7QSH1PtnQgueILdmPEaN1gsB2BbBjBgucoenom5FL9oW2oWce4xwBEB4:jeSeNl815KsLXBEB4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9236ed49b99266e4 |
|
VISUAL
aHash
|
0000040c0000ffff |
|
VISUAL
dHash
|
d41cccddddc4c432 |
|
VISUAL
wHash
|
0004263c247effff |
|
VISUAL
colorHash
|
3a002000408 |
|
VISUAL
cropResistant
|
727ae4c4d899f3d2,fce0088aaebed8c0,d4c4d02284200030,d43accccddddcbd4 |
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 108 techniques to evade detection by security scanners and make reverse engineering more difficult.