Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A235C766731B9A987DB52EEEB382D49B2C5449DE8CB4400F5C996CD23C7C903287BB4 |
|
CONTENT
ssdeep
|
1536:aY+EsZ/8WDVRsMjBqRxMjBbDrpRXPZlQaQD9OehM+BrUgq4z:axjRwRiDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef909495c5d1c5d1 |
|
VISUAL
aHash
|
9981818181818181 |
|
VISUAL
dHash
|
5111416961454161 |
|
VISUAL
wHash
|
ff8181b9b181b9b1 |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
5111416961454161,3032c8c8c0c0c0c0 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.