Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C234A726332B87843DBA1DEF7382945B2D2989DF8C74554B1C99ACD23C3C802297BB4 |
|
CONTENT
ssdeep
|
768:aE+EsZx8/G8ZT4TDawhMDBDwBMDBlwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aE+EsZ/8Z8TDawhMDBDwBMDBlwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ead13dc485b191c7 |
|
VISUAL
aHash
|
818181a1b1818181 |
|
VISUAL
dHash
|
4501096961414571 |
|
VISUAL
wHash
|
ffc1e9edb1818181 |
|
VISUAL
colorHash
|
16007000000 |
|
VISUAL
cropResistant
|
4501096961414571,c492aca7bbbc92c4,220808eae9408032 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.