Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127B1762FB2063636094203A07C0D6B99F71740AC6A626A4875FBC018B6D6B6DDE7647F |
|
CONTENT
ssdeep
|
96:TQpyAMxIo7Tc+7mN3et1wpQ5ZifpsSeZuIV3vH6:8pyAMxS+sT6KEwIV3f6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2694c6e59265d6c |
|
VISUAL
aHash
|
00ffffeffffff7ff |
|
VISUAL
dHash
|
631cb698988c8db0 |
|
VISUAL
wHash
|
004f034f4f4f464e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
d8969898b88c8db0,0001000303000100 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.