Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125A2525221080A95C2F38CE898113B857182E74FC87142B0D6B84E775BE6AB5B79DF7E |
|
CONTENT
ssdeep
|
384:2Gg2dGyP9bNYg8WHw/Y8LHSN+Sb8GY+XHba14D0:GgaYtu+XHbT0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a56255a8f25 |
|
VISUAL
aHash
|
ffffffc7c3fcfcfc |
|
VISUAL
dHash
|
2630001696000008 |
|
VISUAL
wHash
|
008f0303033c243c |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2630001696000008,000820b2b2320c20,a988d49096d4cc0a |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.