Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A902FE726504ADB70193E3EAE771E72F7686D349CA931786A2F8974C0FC6CAACC51214 |
|
CONTENT
ssdeep
|
96:+R47PzpCvHIxhnuB1Q+BO4vRl8voOBvlPV4RJoTB0VgmPetJ2yJxyQP3r2:+RKAPYnus4vRlPRJoTGOxvi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9b31314e4c64f3 |
|
VISUAL
aHash
|
3cffff3c3c000000 |
|
VISUAL
dHash
|
7179696169062800 |
|
VISUAL
wHash
|
ffffff3c3c000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
7179696169062800 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)