Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA7315726056E8B300A395D5E1F4671F63A9DB5BCD0343C3B3E8EB986BD6D88EC22511 |
|
CONTENT
ssdeep
|
768:3IIKIZfNwNsyW8xFsJ9uYW16YWGfaH3T0vJ3TUx3A8vVDCwLKtvupzRUj:3IIKIZfNwNsypEuOA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3643693939e3c3c |
|
VISUAL
aHash
|
0020007c7c7c7c7c |
|
VISUAL
dHash
|
d4d3d1d0d0d0d0d0 |
|
VISUAL
wHash
|
0c60707c7c7c7c7c |
|
VISUAL
colorHash
|
07006000240 |
|
VISUAL
cropResistant
|
d4d3d1d0d0d0d0d0 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.