Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179A36733411935274437C6D530A95B3BE2E68D5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:pcFLz4NP/y9svbliCd//sFtWAuCa2/X2ZPI:cmAQ/XI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439538bc3ce4a7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc9c8ccc8c8cc00 |
|
VISUAL
wHash
|
027c7c206060ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
0c004c400160e080,dcc9c8ccc8c8c8cc |
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.