Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B134A726732B86843DB91EEF7392D06B2D6589DF8C74410F5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aY+EsZx8/G8M4cDawTMJBMwVMJBgwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvD:aY+EsZ/8XcDawTMJBMwVMJBgwZUXx+y6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af8f9898d0c3c7c2 |
|
VISUAL
aHash
|
ff03232303038381 |
|
VISUAL
dHash
|
7f774f4f27271717 |
|
VISUAL
wHash
|
ff0323a383c3c3c3 |
|
VISUAL
colorHash
|
180000001c0 |
|
VISUAL
cropResistant
|
7f774f4f27271717,f7e6cecea6a69686 |
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.