Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE2330B1E261A63781A3E1D1A7724B5B72E1C289C9D2035B93FC87A81FD7C51FC4781A |
|
CONTENT
ssdeep
|
768:9R3Z44jnQ3MuVFbB13brZp2TbnAQJHQwliYujEY:l44K3brZpObnAQJHQwli1j9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93696db4c6629939 |
|
VISUAL
aHash
|
00000c7e6ece0400 |
|
VISUAL
dHash
|
dc5a98cc9c9c4d32 |
|
VISUAL
wHash
|
00000c7eeeffff18 |
|
VISUAL
colorHash
|
180020001c0 |
|
VISUAL
cropResistant
|
ccdcdd19b4e1f39c,dc5a98cc9c9c4d32 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.