Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CD29131A1106B3F0297D2C97751FB2FA2E39249D65A094142FC875E0F97E94EE2392B |
|
CONTENT
ssdeep
|
384:dhRSFy5NCW9h6jU1DgZjbk2vswSJJw/DHzLa46PIYsOy2+y9BH4cCUIe:XRSFy5NCg6jmgZYa47sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d353f93acc2c9cc0 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1848c8c0cc0d0f00 |
|
VISUAL
wHash
|
00ecf0302c05ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9448ccc0c0cc8d0f |
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.