Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116B2ED32BA6230668533D4D1F5E95F18B1D7E335C3454514E3EA1A0A6FCFCF8AA523A8 |
|
CONTENT
ssdeep
|
768:Sgv5oStzq2TG2lTKSBMAV/uzA+GqYD5Lf1z5Lf1ToLf1AtLf1ePNtTzhBeC3L:hv53qCjV/eYD5Lf1z5Lf1ToLf1AtLf1K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a55a4aad5a57350b |
|
VISUAL
aHash
|
00f6fefeffffff00 |
|
VISUAL
dHash
|
06a48a08164616a8 |
|
VISUAL
wHash
|
00fc0088ffffff00 |
|
VISUAL
colorHash
|
07000000207 |
|
VISUAL
cropResistant
|
06a48a08164616a8 |
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 89 techniques to evade detection by security scanners and make reverse engineering more difficult.