Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD932CFBE3ACE964B14363C8F0E0B35252131179DF46CAC8CAAC42A9B7D19DD4977990 |
|
CONTENT
ssdeep
|
768:3iW2pl6ku8S5W0Bx5/J0Ff7YOt8LD6ghshsxX0:q2Lds7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c332bc9c3c96c365 |
|
VISUAL
aHash
|
0000640460ffffff |
|
VISUAL
dHash
|
34c9c9c9d2e9c8c0 |
|
VISUAL
wHash
|
0044640460ffffff |
|
VISUAL
colorHash
|
00000006400 |
|
VISUAL
cropResistant
|
2525129a5b559692,2a26abbbb94b6d91,34c9c9c9d2e9c8c0 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.