Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14003723090516A3702E3A3D1B335279BB3D1C38ADA134B5963F9836E8FCBD54DC16A69 |
|
CONTENT
ssdeep
|
384:PWUKQ2qUkrW+LIjFklx0npqxMhgNHD/yAvGjdndndJtOY+eft:PWUsj/zhqHtODYIF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f8223c23b9a7cc7 |
|
VISUAL
aHash
|
247fbb9ffff8e780 |
|
VISUAL
dHash
|
ddc373714645cd3a |
|
VISUAL
wHash
|
007f998f7ef0c780 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
ddc373714645cd3a,cfdfd7c7ef37bfff |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.