Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8235B726722B86883DB91EEF7382D56B2D6588DF8C74450B5C99A8D23C3C817187BF4 |
|
CONTENT
ssdeep
|
768:ap+EsZx8/G8MRF4QDatdM7BmtGM7B+7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDS:ap+EsZ/82OQDatdM7BmtGM7B+7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf7a70b46c307095 |
|
VISUAL
aHash
|
83818fbfbfbfbf87 |
|
VISUAL
dHash
|
0f4d7971666e4c5d |
|
VISUAL
wHash
|
81878581bf9faf81 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0f4d7971666e4c5d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.