Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A3DC23411935374437C2D134BA5B3BD1A6C99FFAE709014EDC8BFA6AF9CA0745B229 |
|
CONTENT
ssdeep
|
768:GTqYtpR4nXF6YjOpSpFlTC6rruVXXQUeCa6THpbX:GTqYtpR4nXBKpSpFl26vuNeCrJbX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f42ec6c9013c7e5 |
|
VISUAL
aHash
|
00003c0c00009fff |
|
VISUAL
dHash
|
3065686868657a26 |
|
VISUAL
wHash
|
98303c3c1430bfff |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
0000806060600040,0000806060c00040,0000206060600040,0080a0c0a0800000,6c8012c82e262494,30654c687864657a |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.