Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA0494F170613EBE348662D5E7086B49B7C581ADFF500F55C3E0C6AEA26BE91F81B148 |
|
CONTENT
ssdeep
|
3072:OFwAjGqJVtrYJVtrvx6FwAxMqJVtrYJVtrvxGFwAxMqJVtrYJVtrvxGFwAxMqJVT:AdGqJVtrYJVtrvxknMqJVtrYJVtrvxY3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c3a69399633c5 |
|
VISUAL
aHash
|
00007e7e787c7e0c |
|
VISUAL
dHash
|
03ccfcd8d2d0d8c8 |
|
VISUAL
wHash
|
00307e7e787c7e0e |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
ccd95d4909e93d4d,03ccfcd8d2d0d8c8,8e8eccdcd8c8c8d6,014b00883333a131 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)