Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6E2A631A009A83F0AAB63D6DB71A35AB2C7478AD9131B1A42FCCB5D5BEBC50DD13458 |
|
CONTENT
ssdeep
|
384:2YjwGGII0WpIIIII9nlBmDx+sBV4q2ZpT3ghQDoAKG9pmw+JzjHpW:OIIfpIIIIIYFIq2ZprghGT3mw+y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e3711c9c3973c6 |
|
VISUAL
aHash
|
00f3efff7f181810 |
|
VISUAL
dHash
|
87cfcbb3e5f0f0f0 |
|
VISUAL
wHash
|
00f3ebdf7f181818 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d2ee9c988c8c,0000606468000000,87cfcbb3e5f0f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)