Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15972F8B2E104A9230533C6DDB9F21B19A2C1E3CAC64107D6D6E8C36D6BCBDB7B517158 |
|
CONTENT
ssdeep
|
384:dZwGJDGuFet3NiNN5QzxJxLJawgcC1hLl/3Va+epmZ:7JDneZNsN5yJ1J63BvVSp4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b6434666733c6c6 |
|
VISUAL
aHash
|
181c3c1c3c3c1c3c |
|
VISUAL
dHash
|
7171797971717979 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
02000007000 |
|
VISUAL
cropResistant
|
a0e2dafaa2d2ceea,0000000000000000,8080808080808080 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.