Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D928371B048AA3752E781D0B774276F3285C38ADE8B03189AF953AC9AC7E91DE31158 |
|
CONTENT
ssdeep
|
384:VIIIiP4s//+yfaT+JH5r7A1yjc3gzWme88mXGdj13Z:VIIIDysOr7JjwZdjL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8757f8c1071f07f0 |
|
VISUAL
aHash
|
7eff1f17373fffff |
|
VISUAL
dHash
|
ec9864e5c4f630e0 |
|
VISUAL
wHash
|
06060f1717133f7f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
ec9864e5c4f630e0 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.