Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123742BBC130116BDB06B87E5F950F3AEA12FD298EA93C94DF3ACC28127C6C98CD55594 |
|
CONTENT
ssdeep
|
1536:AUE0hdOc4NFfI/6P0rl1HoknsWiXAuqYeqIOIwl2IgiWVIwOGZ/lP0rl1HoknsWq:1E0cPPoqEwl23IwOGRVPESPlG8iA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876a6b35786e6885 |
|
VISUAL
aHash
|
803f3f001f023f20 |
|
VISUAL
dHash
|
4b69f0d8fadefad8 |
|
VISUAL
wHash
|
803f3f005f067f2d |
|
VISUAL
colorHash
|
180010000c0 |
|
VISUAL
cropResistant
|
972a8f51fbcfd757,73cde64aecececec,99970eecf2f8e869,79a49cf4e0706033,d84864f4c8c870b2,93b371b1b1129c9c,96644d7729acf871,a7b3994e44e0e2e0,b3e5a5a5b436323c,9b3b6d63989cd8e0,f29896914bf0d0d2,125b6d611694d8a0,0e9c169cac96d861,4b69f0d8fadefad8 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.