Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF536CFEBC80F51255B351A360AB2903333D551F340D49B0E658EE8EB5B085AA17BBD9 |
|
CONTENT
ssdeep
|
768:lPT0TQH7YFQaI6gEK/ewNbdHXpv2v0bIFnoMlFp1I0T18rqfkBi3fVzc+b42NB2d:lwI6gEARHXpkPI0TudINzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b21644acedbd1333 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
e4cccd8d26171e8e |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
16200018002 |
|
VISUAL
cropResistant
|
eccdcd360e173e8e,9ce4ccecccc9cdcd,822acacaca3a8a01 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)