Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161B31977925C20BB116B89C6FFBA431A749AD24DED739540D3FE63960BE2CC0FA19508 |
|
CONTENT
ssdeep
|
1536:h3zaTmNWjPLn2NG54++cJexAhzr++dnu2Sw3EYqY2Ov5/g+GiujoO0hHs3qZZwpA:hjAL35SbYZVjO7q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d38926d966d3c |
|
VISUAL
aHash
|
00043470707e0e00 |
|
VISUAL
dHash
|
d83cecc4e3cccc93 |
|
VISUAL
wHash
|
04063e7c7f7f0e03 |
|
VISUAL
colorHash
|
38001c00000 |
|
VISUAL
cropResistant
|
fffd89adf3d3ffff,d83cecc4e3cccc93 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.