Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9D392D55618438CA047C9BDEF2FFE05131FB1AABA598680298EC268D5CF8D2F70752C |
|
CONTENT
ssdeep
|
1536:aW0RQ7HGIkfsEDPuoaQyY3FsR8MLqc2IFsR8MLqcMv:B0RQ7HFMDkQypam |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b309ce4ee61919 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
080c0c0c10001010 |
|
VISUAL
wHash
|
e7c3c3e3cccc0000 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
080c1c0c08000000,0008103010100000 |
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)