Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132D2DD7CF14338666833D1D1A5C97E1C74CABF7EC2559A2493BCA60A2FC6CD4A8217B4 |
|
CONTENT
ssdeep
|
768:+8Oow4W0Xo2ASknqxSdk4ItUxuQBhvPK2ITYJygtokz0ed0iD0V:+ShASkqxUkFGuQzoTYJygtokz0e1Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c09837e4c833e77c |
|
VISUAL
aHash
|
0c1e1c7c7c700000 |
|
VISUAL
dHash
|
d8f8f8f0e0c4cc30 |
|
VISUAL
wHash
|
1e3e3e7efef02000 |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
874e7cf8d0b0c066,8c2c2ce4c0f0814e,d8f8f8f0e0c4cc30 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)