Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0F25232901266370397A1C6A2316B0EF3C2C385DA535781ABF483ADEFDBD56DD23615 |
|
CONTENT
ssdeep
|
384:ckIrAD3ta63DDAPf4Jo4JPNk9Gs90VX8XOUKbYXQNa9GNrbV:IryWAs6VX8XOUKbYX9AZV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91c96e3165f6b0d2 |
|
VISUAL
aHash
|
080c7e7e7e0e0c00 |
|
VISUAL
dHash
|
9ad998dcdc989805 |
|
VISUAL
wHash
|
481cfe7e7e4e0e01 |
|
VISUAL
colorHash
|
38201018000 |
|
VISUAL
cropResistant
|
70e2e341a1637375,d3db484949495933,9ad998dcdc989805 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.