Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111F11FF1D400ED7B435386C5ABBA6B0B7791C349CB070A4157F883AB6BCAC60CE1559D |
|
CONTENT
ssdeep
|
96:Tk4nbzD71tDlt8v67McdfSS8Lyt6HFWCXLHFT+XSX/hth7gtf6Df2J:Q4nbzD715lt8iIGYyUhbXpT7g1sfw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e41b9b9a6c9313 |
|
VISUAL
aHash
|
fff3f3f3ffff0000 |
|
VISUAL
dHash
|
102626a626180600 |
|
VISUAL
wHash
|
dfc3c3d3c3ff0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
00262626a6261006,def833fce869dc7f,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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)