Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B335CE97881F1229AB342AB50EF2816337E151B280D4870E659FECFB4F445A6067FCD |
|
CONTENT
ssdeep
|
768:UwT0TQH7YFrFpcCsBrHakOEgUVzc+b42NB2jIGrTnzq8QE12OlDlGYQZ/y:UPpcCsBNzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd9c3c962734969c |
|
VISUAL
aHash
|
06993c7e7e7e8181 |
|
VISUAL
dHash
|
b43371c8c8d00303 |
|
VISUAL
wHash
|
1e993d7f7e7e0000 |
|
VISUAL
colorHash
|
38c00009000 |
|
VISUAL
cropResistant
|
b43371c8c8d00303 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.