Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150535BF5B441F52246B381D260BF1A07737E550FA80E48A0E258DBEE71F4856B0A7FD9 |
|
CONTENT
ssdeep
|
768:hST0TQH7YFUxQUWRbY0QtuZg2xVtWqSJeTVzc+b42NB2jIGrTnzq8QE12OlDlGYT:h+ELGuS2xVtWqSJeZzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9696596169645c3 |
|
VISUAL
aHash
|
00c181dfffffffc3 |
|
VISUAL
dHash
|
3733333f3a371f8a |
|
VISUAL
wHash
|
008181c3ffffff00 |
|
VISUAL
colorHash
|
0f240030000 |
|
VISUAL
cropResistant
|
3333331c3a371f8a,dc37333333133337,802acacaca3a8201 |
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.