Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6E365B13E436826615F52DF910F1B0DA1C1D3CAD7126AD0A6F082289FB5D60BFF36A5 |
|
CONTENT
ssdeep
|
1536:RQeg5jE/uIPmmBgzS76TJa2GXpFAc+fVXpgAcy/bDZjlfzSXjIPmmBgzS7YTIohS:PzE7e07nYqZteKrr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9213eced19a4ac9b |
|
VISUAL
aHash
|
fb00040404ffffff |
|
VISUAL
dHash
|
32c9e9c9490d0cbd |
|
VISUAL
wHash
|
db00040400ffffff |
|
VISUAL
colorHash
|
33000030000 |
|
VISUAL
cropResistant
|
02323232b2b60020,d9f9c1d0d9f9d9d9,07000e0e060cb0b4,86e9c9e9c949a909 |
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 1080 techniques to evade detection by security scanners and make reverse engineering more difficult.