Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DE2A531E109783F16ABB3D0F771E35AA3D682C9E947071682FD878C1BDEC909E0A495 |
|
CONTENT
ssdeep
|
384:7bhEIIKp9mIIIII9mlBrmgqUruBMDSii8B3bL+4YXtAOG9UWqqBuOpW:qIIxIIIIIYwBM5bL+4+9KPe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3791c1c39e386 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
c7c7cddbe5e3f070 |
|
VISUAL
wHash
|
00e1e7ff7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9d988c8c,0000616961000000,c7c7cddbe5e3f070 |
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)