Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119A37933411835274437C6D530A55B3BD2A69A5FFAE70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:uPLLz4NP/y9svbliCdp+iFtiuCa28y2O9:8HmAG+h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c352f53a9c2ccc63 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
8cc8c0c8ccc7cec8 |
|
VISUAL
wHash
|
40e47878263707ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
ce00800130308080,8cc8c0e2c8cde7ce |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.