Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC82B5E8D1D08E3656F3D6D7FB61B28DA216F752CE0619C4D2B3927A19C2EF0F806146 |
|
CONTENT
ssdeep
|
384:Jk39mN+tfYgyo/R94LftYJypZDLwK93O1c13k:F+xvX9zJypZDLRJXk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92c2697ce46dcd92 |
|
VISUAL
aHash
|
f06c3c3c3e0e070f |
|
VISUAL
dHash
|
c0c9c8e8dc7c7efe |
|
VISUAL
wHash
|
f07c3c3c3e060f0f |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
c0c9c8e8dc7c7efe |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.