Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA36933411935274437C6D130A55B3BE2E69A5FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:RpLz4NP/y9svbliCdkoKFtWAuCa2nX2ZE:3mALF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439430ed366da3 |
|
VISUAL
aHash
|
002400000000ffff |
|
VISUAL
dHash
|
dcc9ccccd8c8cc00 |
|
VISUAL
wHash
|
027c6420606cffff |
|
VISUAL
colorHash
|
39000008c00 |
|
VISUAL
cropResistant
|
fffffb8e96dfffff,080000000130b080,dcc9c8ecc8d8c8cc |
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.