Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119C2BA71A110273B02BBC2C973A1B72E67D7828DC78A191553FD837D4BE7E10AE27256 |
|
CONTENT
ssdeep
|
384:noZe7h0Nc3zymH64C2CY/cwH5BbR7EZ1gDOnD+bpqP8ZaU7qKEjKSj32aV0pIYsE:Ye7lQMTqfK0ma67sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3079438bc3ce5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8cce0c8c8c800 |
|
VISUAL
wHash
|
027c64306064ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
cc00880258988000,dcc8ccc4c0c8c8c8 |
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.