Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175D133E0C445ED37435386D8A7F56B0B7391C345CF02094497F883AB5BDADA0CB1669D |
|
CONTENT
ssdeep
|
96:TkCFXwHmiWSTNtL9VUnwecFvCX1HFyKXXcHFZeXqX/Dt5R:QoXwHHRR9aweXVctX7B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9313d8f87930c6ce |
|
VISUAL
aHash
|
0f07070fffffffff |
|
VISUAL
dHash
|
9bf86c9d60000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
9bf86c9d60000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.