Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF5145B79004CD1A1A61C9B4EDE6F20CDA578A99C64A1AC5C2E8D76F39D4FB0C4522DC |
|
CONTENT
ssdeep
|
48:nHR4v7lqJIjjBPnRjju/hdxcitC4QIxAC2kjut7yX:HRIUhXtiIxRrj9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a222230d5d5d5d77 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
904d080000000000 |
|
VISUAL
wHash
|
000000fff0f0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
900d080000000000,0000000000000000 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)