Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138719D74A411142B8363CCC4E571BF693593DB0EDA499800EBAC66D40FEBDF6F982671 |
|
CONTENT
ssdeep
|
96:TG2dMBV88888888888JmrAWMZkRmoobo6fFzpzGD9t:a2dMBuC8vpzE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b399223393339a9b |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d0c4d4d4d4d4d |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
0f0020001c0 |
|
VISUAL
cropResistant
|
0000000000000000,c0a0a0a080a0a0a0,37f1c53dff931d05 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)