Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105126273E600DD298EAB56C8F2C09588511DC385FB3148CAB1A491FF7BC0DF169A9B9D |
|
CONTENT
ssdeep
|
192:CF73Jsd+jv3dtYxZgxsMcnthWeNWbnfMmUU8VCoG5:Nyv3dtY2fMmUFCoG5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a525d3d93ddac260 |
|
VISUAL
aHash
|
4303030303ffffff |
|
VISUAL
dHash
|
d7c6c71736c60006 |
|
VISUAL
wHash
|
0303030303f3ffff |
|
VISUAL
colorHash
|
0e441001000 |
|
VISUAL
cropResistant
|
d7c6c71736c60006,dbcccec8cccce8e8,ec68e8c9641998e0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.