Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA124F7091588C3E658B82D4D224FF6B3191C2D6CF6712126AED833C8AC1DAAED3F1D5 |
|
CONTENT
ssdeep
|
192:RJidZSoIi54QeIsK0DH02dLN5R5sJPQ8iV0RU4bv:itkQeIsK0DHhRkPQ8o0jv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98253631cd747667 |
|
VISUAL
aHash
|
010f263cfcccbc3c |
|
VISUAL
dHash
|
9690ccb2b21c7968 |
|
VISUAL
wHash
|
011f1f1cd8dcbc3c |
|
VISUAL
colorHash
|
07400038000 |
|
VISUAL
cropResistant
|
9690ccb2b21c7968,4953032323234359 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.