Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F77167BBE19869090F2987FCDC93B1BC854E169DE1D45EC821C0502F629BBB045F1FC9 |
|
CONTENT
ssdeep
|
96:dV0OXBu4YXrusXVTPd2w/wAaEwAOtAeAGAWfO3x8rN94Vfca:dXBN6rPVTPd2w4A4AOtAeAGAJx8P6F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac24e3e3262cd9cb |
|
VISUAL
aHash
|
03031b0307ffffff |
|
VISUAL
dHash
|
4696b6b6b6011400 |
|
VISUAL
wHash
|
0303030303e7ffff |
|
VISUAL
colorHash
|
17000e08000 |
|
VISUAL
cropResistant
|
4696b6b6b6011400,e6c464a2c66498c8,34828e8c8c8c9ccc |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.