Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3C2013419474FAFA1C3B2A3236E6F1D91C4E789C5778A06F6E84B45479BCE8C9F8214 |
|
CONTENT
ssdeep
|
768:XwmNWLtP7Tn42e8RVcBvkM/K/j/Y/R/c/tJZZN6W1ZlBbxee5tBp:Xiee6bSrwpU3ZuK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ed2b4b5c193716c |
|
VISUAL
aHash
|
1f37113f1b131313 |
|
VISUAL
dHash
|
b665616377666ee6 |
|
VISUAL
wHash
|
1f3f013f3b131703 |
|
VISUAL
colorHash
|
39006000001 |
|
VISUAL
cropResistant
|
b665616377666ee6 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)