Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBD29731B010663B1193C3CB7761FB9EA1E39249DA9A1805A3FC876D4BD7F51DE2341A |
|
CONTENT
ssdeep
|
768:8eFy5N6nviaUHPPPFfC7B8/Q7sOy2+y9BH4crIe:zvipPPRC7r7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d43ab829c7c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc1c3c3cd2c9300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,dcc9c3c3c3cd0c14 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.