Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186C1927312441D3E1BA3C6ACF2E5F2189256C68CD6779A64F3EE12B61BC6D94C4331D4 |
|
CONTENT
ssdeep
|
96:TO46YZl93kOkxK55dxkOy0xK55BTK8LEjB5uSeYcYb9Lf9s/mtwiw3EwlOLz/IS/:n9ltvRis5uSeFYbFf9Kmtwiw3EwlOwS/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dcec6333d8662698 |
|
VISUAL
aHash
|
e0f8d89818000018 |
|
VISUAL
dHash
|
00103030320c3030 |
|
VISUAL
wHash
|
fcf8f8f8d898003c |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
00103030320c3030 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)