Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172235B726332B8A883DB91EEF7382956B2D6589DF8C74410F5C95ACD23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:a1+EsZx8/G8c4YDatnM7B+t9M7B27Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvts:a1+EsZ/8nYDatnM7B+t9M7B27UXx+y9T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2f2f90c0d4c167 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
7571692037313723 |
|
VISUAL
wHash
|
000000dfcbffc3ff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
7571692037313723,ffcfb3b26969fbff |
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.