Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1694186728082342F0A7318C1E89AB799F4D3C31EEB138D5459FD03EA17D9E59BC1945E |
|
CONTENT
ssdeep
|
48:PzA7ck9zvFUByOBawsRzxOfxXQasYxDiQNwBR9oW:Pk7ckJqBN+YxAqDiQNKXj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c6999931666399 |
|
VISUAL
aHash
|
cfffe7e7e7e7c7cf |
|
VISUAL
dHash
|
18100c4d0c0c1c10 |
|
VISUAL
wHash
|
c3cbc3c3c0c0c0c8 |
|
VISUAL
colorHash
|
07e02000000 |
|
VISUAL
cropResistant
|
18100c4d0c0c1c10,5fdb7961c5c441c3 |
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 173 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)