Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C203C412B3403B35129303EEF64023FAD2A29294E72236A47AD75FFC7965B51E53718B |
|
CONTENT
ssdeep
|
384:JGVqB5NBRqrnzD5WuxUYPAtxVbzJfvnvaVbu5OLVMGzLnMmYlnjCAr/L3:JGVqB58rzFWuxUZtxVb5nSVD3nqn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cbce65319861cb |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
b30e9e9e9e961616 |
|
VISUAL
wHash
|
c1c3c3c3c3c3c7c3 |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
b30e9e9e9e961616,3f3fefaebe9c763e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.