Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CF261AF96887C3B015347D3B93C5755AAE69607CA92085DB6FD839C07D2CB0EA7202D |
|
CONTENT
ssdeep
|
768:K65Ca83Q0IAUFe0sk2pRB5LXNXXLlXpcdPQyZmdn:tCa83Q0IAUFe0sRpRB5LXNXJXpcdPQyA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa9da356693c5c29 |
|
VISUAL
aHash
|
0f3f1f1f00040703 |
|
VISUAL
dHash
|
7ffd3737cdcccf0b |
|
VISUAL
wHash
|
bf3f1f1f00060707 |
|
VISUAL
colorHash
|
301c0000000 |
|
VISUAL
cropResistant
|
a200806d2d8000a0,7ffd3737cdcccf0b |
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 651 techniques to evade detection by security scanners and make reverse engineering more difficult.