Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEA36933411935274437C6D530A55B3BD2E79A4FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:6PSaLz4NP/y9svbliCdkutEd9cFtWAuCa25X2ZP4:gNmAbuidP4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3469431ed386cec |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc9ccc8c8c8cc00 |
|
VISUAL
wHash
|
027c74206064ffff |
|
VISUAL
colorHash
|
39000008e00 |
|
VISUAL
cropResistant
|
ffffdf8d8fd7fbff,080000000130a080,dcc9ccccc8c8c8cc |
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.