Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1680213E0D044DC3B231385E6B7B6275F7595C745CB020E9C63F852BA5BDACA0C923A9A |
|
CONTENT
ssdeep
|
192:Qak7mohOlzH0X1nmIxthBXz1RzpOZEjQR:QaNQmotvXzAGM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ebc14b2b943cb4b4 |
|
VISUAL
aHash
|
0828ffffff0000ff |
|
VISUAL
dHash
|
d9d1f52a2b697133 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
d9d1f52a2b697133,b695456d724a9cb4,c8d36b4a72737674,b4988971512121b2,15eaea3502080432 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.