Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178C381D55618438CA047CA7DEF2FFE05131FB1AABA598980298EC268D5CF8D2F71752C |
|
CONTENT
ssdeep
|
1536:U60RQ7HoIyfV9DXClFsR8MLqc2qFsR8MLqcMv:r0RQ7HTIDXTKm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b3138e4ee66622 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
08140c0800000010 |
|
VISUAL
wHash
|
e7c3c3e73f3f0000 |
|
VISUAL
colorHash
|
07000040007 |
|
VISUAL
cropResistant
|
0c140c0c00000000,0008101010100800 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)