Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194C28672A015673B12A7C2CDB3A1BB1EA2D3424DC74E251153FD836D0BD7E11AD2726B |
|
CONTENT
ssdeep
|
768:Fe4hJRsIsbZrL2WC1aW7sOy2+y9BH4crIe:9JuQdT7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c307b139bc2ce4e6 |
|
VISUAL
aHash
|
002430000000ffff |
|
VISUAL
dHash
|
dcc8cce4c8c8c800 |
|
VISUAL
wHash
|
026c74306064ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
0080802058d08000,d4c9cce4c0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.