Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB03F863F258193302A353D5B296F7DAA36A412EAB02CD70F98D467D73C6CB907721B1 |
|
CONTENT
ssdeep
|
768:8iW26ku5S5Wju/J0F5RGp/8ntuDwaMiak:olS/KyXMvk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b26d6d34964d69 |
|
VISUAL
aHash
|
006c6c2e04787838 |
|
VISUAL
dHash
|
94c9c9ec8cc0c8e0 |
|
VISUAL
wHash
|
406c7c7e0e7c687c |
|
VISUAL
colorHash
|
38c00000000 |
|
VISUAL
cropResistant
|
645adad498993939,94c9c9ec8cc0c8e0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.