Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11973637161826E3F118387D5C36CD35AE786D609C737998BDBE8831B378ADA4DC39128 |
|
CONTENT
ssdeep
|
1536:6AS52atNcEZ0jaTUPeyCCd0Zn1B4t+j0Ax9mo87y:5mNuiZgsAY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e840a6bc366eb6b2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
84d383339437270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
108a88cbcbc988c8,3a65e5679ab93d25,38789d9c8c8c8d8f,a76464bba3535347,82928ccccc8cb282,c512302327000f0e,948bf3d3832b3393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)