Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T115E2B6319119A83F0AA767D2E774A32A7289838ADE47073A42FCC75D6FE7C50DD03496 |
|
CONTENT
ssdeep
|
384:15IIc/rIIIII95lB9jrbF23XMqq6hUjRpruMPyOgqGlC5Qq1pW:jII0IIIIIxk3XMq9hqqMPyOqlXqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3731c1c3963c6 |
|
VISUAL
aHash
|
00f5ffff3f181810 |
|
VISUAL
dHash
|
cecdcbd3e5e1f0f0 |
|
VISUAL
wHash
|
00e5fbff7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f7e3d3ca8d988c8c,0010e4c8d0400000,cecdcbd3e5e1f0f0 |
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)