Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1675166B151852423122747DABEE3FF19B0D7131ECB871E0167F953DD43E8D95E826618 |
|
CONTENT
ssdeep
|
48:TxLZNmTNMOcdOv107fk56KyfvICdIaIpg1ocnwhKGLgibMNQbIL8MSTNODWg:TkLMshyfvICop8nwhNVANbLxSTNODH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc66cc99 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
f0e8f0f0b2f0e8f0 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38400000180 |
|
VISUAL
cropResistant
|
a280a08c8ca08080,f0e8f0f0b2f0e8f0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)