Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D4262274241352707639388BE2AB31CE267019A8E423F1ED7E1E15EF6CFEE7A11D185 |
|
CONTENT
ssdeep
|
96:+WJFwzrG2DBf4qcGy3s9z+3TMAPA7fvyxARAlg3ASMAs1AYXADLMA/UAmA/2CA7Q:+WJV2DBPgsi32fas52W4WpZI++x79gx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b467239a9e8a9be0 |
|
VISUAL
aHash
|
e7c3c3c7dfdfdfdf |
|
VISUAL
dHash
|
8e8e8e2e363e3e38 |
|
VISUAL
wHash
|
c3c3c383838f878f |
|
VISUAL
colorHash
|
0700f000000 |
|
VISUAL
cropResistant
|
8e8e8e2e363e3e38,aa92b3b3b3313133 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.