Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E2D972A1407B3B01A796C6B251F71E63E2834ED74A051653FC876C0BE7E40EA2776E |
|
CONTENT
ssdeep
|
768:CelE7v8TIRZqRiCJGi/d2sK7sOy2+y9BH4crIe:DfxhjK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c241f932bd4d96c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9888c0c8cc0cc300 |
|
VISUAL
wHash
|
006478302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,d888c0c0c8cc1cc3 |
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.