Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183844017931C6229292F03C0A45B27E762C0D9CBD6C5D288A7EDFF55D187CB1B924BE8 |
|
CONTENT
ssdeep
|
1536:32gY43PqDRiWlqPqDRiWlyPqDRiWl3eH7DF/ZtsEJPjQBq1Wixx2aEy9yuyQia:6ijLqRy9yuyE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4349b9a347c1d35 |
|
VISUAL
aHash
|
ffffc3c3c3efffff |
|
VISUAL
dHash
|
b0cc969686dcdcdc |
|
VISUAL
wHash
|
5f67434342666666 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
b0cc969686dcdcdc,98c8c8caeee6e860 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.