Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0334B726731B8A883DB51EEF7382E4AB2C6949DE8CB4550F5C9968D13C7CD02187BB4 |
|
CONTENT
ssdeep
|
1536:ai+EsZ/8L9cDVRwMjB6RxMjBvrpRXPZlQaQD9OehM+BrUgq4FJ:aXrRgRGrpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9292ededc99a9238 |
|
VISUAL
aHash
|
ff664e6c007e0000 |
|
VISUAL
dHash
|
828c9cc88aca8028 |
|
VISUAL
wHash
|
fff64efe00fe0000 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,1fdeceaee6ced060,868c8ca882ca00a8 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.