Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6B30F23415925270437C2D1347A6B3BD1B6DA9FFAE70A405EDCCBF62AFACA0701B159 |
|
CONTENT
ssdeep
|
1536:3XtpR4nXBKpSpFl26vIyGLjF3Z0/0BiLtMjrA+:TUMv/LppioiLg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9712e82d68c86f6d |
|
VISUAL
aHash
|
0004040404ffffff |
|
VISUAL
dHash
|
585c4c8c1c6e002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
03000200c00 |
|
VISUAL
cropResistant
|
4d16baac9392a22c,0000402020400000,8000412121410080,0020408090004080,aeaa53202c885454,6c000957562b2b2b,d35c5c4c2c8c1c2a |
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.