Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159235B726332B87853DB92EEE7382946B2D2589DF8C74550F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aR+EsZx8/G8lc45DataMJB9otqMJB9kwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aR+EsZ/8ln5DataMJBKtqMJB6wZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cab4b56b1a0bf087 |
|
VISUAL
aHash
|
fffffd1818f8393d |
|
VISUAL
dHash
|
c817a13979196969 |
|
VISUAL
wHash
|
fff9fd080808383d |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
c817a13979196969,2f5747575f321b87,45453bd8c4e45945 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)