Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE234A72A332B47843DB91EEE7382E15B2D2588DF9C74554B5C95ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aSL4j+EsZx8/G8F24JDawKMLBTwIUMLBJUcix+y9dQpUDF1E56ITmHDLBABW8KPB:aSL4j+EsZ/8FRJDawKMLBTwIUMLBJUXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4ab4b5799b9505 |
|
VISUAL
aHash
|
fd70303070ffffff |
|
VISUAL
dHash
|
21c1c169c2044100 |
|
VISUAL
wHash
|
f120200020ffffff |
|
VISUAL
colorHash
|
07c02000200 |
|
VISUAL
cropResistant
|
21c1c169c2044100,5e5f9791319199d9,3373d2e433c3cada,d2523c331316b4a5 |
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.