Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12CA1943260209D3F26239A61F9D5F288C885E30FCB66D979E2BC42BF15D1EE0D436D55 |
|
CONTENT
ssdeep
|
96:sQ/Jxv0fs4v0fJUQ2VLrQrueSp1DmAbDdvZwrkYBieEXz0:sYJxQNv0udtTJ6rfBitXI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b332cccc99996666 |
|
VISUAL
aHash
|
ffe7e7e7ffe7ffff |
|
VISUAL
dHash
|
324d4d4c304d0810 |
|
VISUAL
wHash
|
fce4e4ecd8c0c0c0 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
324d4d4c304d0810,076961693230e845 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)