Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A36933411935274437C6D530A55B3BE2E68A5FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:doLz4NP/y9svbliCdtx4FtWAuCa2nX2ZE:omA8K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439438ec3e6da1 |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc8ccc8d8c8cc00 |
|
VISUAL
wHash
|
027c6420606cffff |
|
VISUAL
colorHash
|
31000008c00 |
|
VISUAL
cropResistant
|
fffffb8e96dfffff,080000000130b080,9cc8c8ecc8d8c8cc |
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.