Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6A3BE27412979274537C2C030795B3BD1A69A5FFEE70D010EDD8BFA6AF9C60B42A11D |
|
CONTENT
ssdeep
|
768:85rxtpR4nXF6YjOpSpFlTC6rrYSuk4rdkXiAX:85rxtpR4nXBKpSpFl26vzgkXiAX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f52ec6cb19346c4 |
|
VISUAL
aHash
|
00003c0c0000ffff |
|
VISUAL
dHash
|
3065687874657a24 |
|
VISUAL
wHash
|
98303c3c1410ffff |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,7883c82426162666,30656d685876656e |
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.