Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED235A726332B87883DB92EEF7382D46B2D6589DE8C74410B5C95ACD13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:ab+EsZx8/G8iRF4HDatQMmBct6MmBw7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDv:ab+EsZ/8kOHDatQMmBct6MmBw7UXx+yI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ae465e4e5b1e5a0 |
|
VISUAL
aHash
|
bd9dbd9dbdbd9d9d |
|
VISUAL
dHash
|
6979797971797979 |
|
VISUAL
wHash
|
85bd9d9c9c9c8c8c |
|
VISUAL
colorHash
|
07033000000 |
|
VISUAL
cropResistant
|
6979797971797979 |
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.