Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9F112E1D444ED3B075285D9F7B66B0B76D2C349CF020984A3F883AB5FDAC60CA1269D |
|
CONTENT
ssdeep
|
96:TkP+RzYtqOSTB/bN8v67MlLdAsDSS8ctmMpvswvF0etXKHF6eFXmX/P3YBqoST5J:QP+RzYtkJ58iIlRAsRIMpvtEjAX30qhb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c949b6b688cce633 |
|
VISUAL
aHash
|
ff00001800ffffff |
|
VISUAL
dHash
|
04323232320c0000 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
04323232320c0000 |
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.