Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C6274B2375496F7A197C2B2B311F73CB296D28AE83FE6C993E1916B77C1C118D51220 |
|
CONTENT
ssdeep
|
96:E7l4LDKEqKZLDKEX35eq9ksBjWdfnjSnKrgd816PRz9hvlS1h/Zz3ohVzGHKA5NS:3LEiLvhq63JoPRZu95GopJ2JfOLob/vA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7d3c96c92649899 |
|
VISUAL
aHash
|
e7e7e7e7e7c3c3ff |
|
VISUAL
dHash
|
2b0a0e4d4d16161c |
|
VISUAL
wHash
|
00e1e1e7e7c3c3c3 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
2b0a0e4d4d16161c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)