Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4D2127300C699FB00E3A3D05271172AA29673A2FE6B434797F44B4E5E97F65CC26836 |
|
CONTENT
ssdeep
|
192:BDvcwE1+GABXELib+brmVvqq7tqW5BMB8x6PacLlOojQD9C9yv8fuz2jQIFN:RvxEcNBXELiy/Y+nPacLk8fug |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d09d3938783d95c5 |
|
VISUAL
aHash
|
003c7e007c3c347c |
|
VISUAL
dHash
|
31f0d490c4d4c4d4 |
|
VISUAL
wHash
|
00007e3c7c7e7c7e |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
04001c1cb6940080,31f0d490c4d4c4d4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)