Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14993B6A273C93E314655F2B65CDADCD87B38940A13CCD88A570CC8A994249B8937FEDD |
|
CONTENT
ssdeep
|
1536:Fn/TpgC2fFo/k4S7FGzxACyDX8RW92/9agsEu3c8dl:Fn8q/vexX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eae63528d3da9832 |
|
VISUAL
aHash
|
e3e3fffc60190080 |
|
VISUAL
dHash
|
4ec765e1d3330f1a |
|
VISUAL
wHash
|
e7e3fffc60190082 |
|
VISUAL
colorHash
|
1900b000200 |
|
VISUAL
cropResistant
|
4ec765e1d3330f1a |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.