Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E81BDB59418B83616A2C7EDFAF0A32EA6C2C78DCA430A45D6E5835D1FC6EE4CC45215 |
|
CONTENT
ssdeep
|
96:IlC1Kc7PzbCvjdhtZB1d0ZhvC+BvlPHc1y5VSmP7th1:IlC1KemHtZEUsD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce65717171646666 |
|
VISUAL
aHash
|
183c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6971617171717171 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
02000007000 |
|
VISUAL
cropResistant
|
bab282a2a2a2a2a2,0000000000000000,8080808080808080 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.