Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F00252E1E054DD33071281D6B7FA7B2F7AB5C345CB010A9412F853BA57CEDA1CA22999 |
|
CONTENT
ssdeep
|
96:TkXhmkzYtqOSTBAT98v67ZtD57WMp5HFt6XNHF6T6XMHFcuXJX/gbST5v+AT431:QXhmkzYtk+58iB7WMp5GcrdXplp8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
837e00fc81fc81fe |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
08000060608000d0 |
|
VISUAL
wHash
|
00009f9f00ffcf0f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0000000808100000,60407060004000d0,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.