Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15991EDB3D2DDD0321721C5C4FA72AB2AC68700CEDE952947DAB1069F25DCEA5C803F4A |
|
CONTENT
ssdeep
|
48:epDsFnkPnlCclWYdmEeiqG3+VjhorwxCs2YnqPDtVQ281w8IZB5DQC1QDkKsQ/68:sllWmOC5wk3DQC5jm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36cb8c3c7989867 |
|
VISUAL
aHash
|
ff000020747c3c6c |
|
VISUAL
dHash
|
49c4b0c8c8d8dcdc |
|
VISUAL
wHash
|
ff0000343c7e7e7c |
|
VISUAL
colorHash
|
30c00008000 |
|
VISUAL
cropResistant
|
53694b5b0f436765,49c4b0c8c8d8dcdc |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.