Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C13DF9251A63441C27389CC80B59B5020C46A8EE753DD35D37D8FBEBFEE42279099BB |
|
CONTENT
ssdeep
|
384:3DOWt6eDlXTDaol03cbO0vsFiYK/M74UZh3gl4oyxGltph1h:h9G3chscY7UUjJogW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5aa52752ad52 |
|
VISUAL
aHash
|
ffffffe7e7fcfcfc |
|
VISUAL
dHash
|
0c20140c0c110901 |
|
VISUAL
wHash
|
00c7c7c3c3c0fcfc |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
0c20140c0c110901 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)