Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134234A726332B4A883DB91DEF7382D46B2D2988DF9C74590B5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G8WnRF4DDaw4M5BWowPM5BWLqN2/y9dGDUDF1E56ITmH+LXPnTyPqDZ:aF+EsZ/8WRODDaw4M5BrwPM5BhN2/y96 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef6b903ed0a5c5c0 |
|
VISUAL
aHash
|
818181818181ffff |
|
VISUAL
dHash
|
71534b0737734f00 |
|
VISUAL
wHash
|
f98181818181ffff |
|
VISUAL
colorHash
|
1a0000001c0 |
|
VISUAL
cropResistant
|
71534b0737734f00,7b938b831333f3c3 |
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.