Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7A23431206107BF00C393B123BFBF2AD1DE9BB5C667A509E7E4534796ABD4748E811A |
|
CONTENT
ssdeep
|
384:bjdxkHJrxE1ulaNZiRIa7lNX9j7druA3rXg:bJxkHJrxE1dNZiia7lNX9j7druA3rXg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb4a3d34114b6b69 |
|
VISUAL
aHash
|
00f1b1f9ffffffff |
|
VISUAL
dHash
|
b22763418c0d5353 |
|
VISUAL
wHash
|
008191b0ffffab83 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
276363610c0d535b,00528eb2b28a4000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)