Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BD28231F000363B129B83D9B762F36EA2E39249E746091653FD835D8BE7E64D91352B |
|
CONTENT
ssdeep
|
768:jSFy5NCdUQEPQvd2i+vO7sOy2+y9BH4crIe:sUQEPQUDvO7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83ecc2d80c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808cce0cc0d0f00 |
|
VISUAL
wHash
|
00ece0302c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0480a00458988000,9408dcc0c0ccad0f |
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)