Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EF3C7756156167E014B47E5F060BB6DD0CBE3CDC662C88CF6AE41723BC7CA4AD8E6A0 |
|
CONTENT
ssdeep
|
3072:jahrw+JgJqOUaYTXTGjN/yOV/o/1/N6QZJgvLDVFRqyOjGM:jahrwN8DQZL1QN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce60319b66ce9971 |
|
VISUAL
aHash
|
0008183c3c3c3c00 |
|
VISUAL
dHash
|
1d3333616179691f |
|
VISUAL
wHash
|
8099bdbdbd3d3c00 |
|
VISUAL
colorHash
|
0f2000100c0 |
|
VISUAL
cropResistant
|
a5b1da9b3b562521,f8a9b9991131bbc4,1b808c8c70cc8e51,01c0ba3a32b42b23,1d3333616179691f |
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 498 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)