Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19603C9328082693762C383C8E67AE75DF3C68349DD1A5A5182E4D36F09E7FC1EC5652E |
|
CONTENT
ssdeep
|
768:Rf6cRIm4441zBPoROQ8V1wkgMpxAw7S9W/N1zJV:Ycn4441zBAOwkgMpxAw7is3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b664c9c9c14d8f |
|
VISUAL
aHash
|
c787070f1f1f0f01 |
|
VISUAL
dHash
|
8e0c6cbdf9fbfcff |
|
VISUAL
wHash
|
c787071f1f1f0f01 |
|
VISUAL
colorHash
|
13007000000 |
|
VISUAL
cropResistant
|
8e0c2cbcf9f3dcff,8c0c7cbdf9fffcff |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.