Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101C29F6920C8775B83F596CD7DA06768E3A3A1D3DD610D46F0903D8FADCAF816D2848B |
|
CONTENT
ssdeep
|
768:h0EkqYPGBRCRlEarG4TdNlrlzrGwsHnSOJKmy3E++cM4RLdNC:h0EkqYPGBRCRlEarG4TdNlrlzrGwsHnN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b065657573756431 |
|
VISUAL
aHash
|
c3c3c7ffffc3ffff |
|
VISUAL
dHash
|
860e142818963868 |
|
VISUAL
wHash
|
000004141c001c3c |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
860e142818963868 |
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)