Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123A2B9299200AA33459BA2D0B661D79F73808384C7078F251BF6D32A79CDFB8DD616DD |
|
CONTENT
ssdeep
|
384:s39ltKUtzRIDlpKufkkH+IeNPsyu2Ol6bA1/BWq8J:o9lTdfPd7FbA1/BW3J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5b133cf4c9893c4 |
|
VISUAL
aHash
|
ffc3c7c3f3ffffc3 |
|
VISUAL
dHash
|
c00e9c966628040e |
|
VISUAL
wHash
|
7ec3c2c0f0fcf8c0 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
c00e9c966628040e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.