Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17BC2113419475FAFA1C3B2E2276F5F1D91C4F288C6778A06F6E8474547AACE8C9F8214 |
|
CONTENT
ssdeep
|
768:jIlNWLtP7Tn42e8RVnBvkO/l/V/E/a/H/t+ZZNOu1ZlBbxee5tBO:jPeexj99My/YZiX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd2b4b5c1b3716c |
|
VISUAL
aHash
|
1f37113f1b131313 |
|
VISUAL
dHash
|
b665616377666ee6 |
|
VISUAL
wHash
|
5f3f013f3b131303 |
|
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)