Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8D25475E284263F46A7C2C8B321672EB2D3838DEB9A291653F9439D0FD7D10DE13466 |
|
CONTENT
ssdeep
|
768:die/GLNCb0KNBUCTMYTK7sOy2+y9BH4cLIe:iqd4b7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a994dc5c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9c0cc849cdcd9300 |
|
VISUAL
wHash
|
00c4f0003f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cc848d9cdcd33 |
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.
Pages with identical visual appearance (based on perceptual hash)