Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C663643453481D3D516383E9E7E07B3943ADD3C2EB0B4459A9BD8BF02A46D5AE8336D8 |
|
CONTENT
ssdeep
|
768:ICKvClgrZBDHUUuRJWmudvHkl32UFPsdO9AdmYw97WJi6UV:jkEPsdO9Admf6UV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cece333031748e9e |
|
VISUAL
aHash
|
063c3d3030300000 |
|
VISUAL
dHash
|
c469616662635070 |
|
VISUAL
wHash
|
7e3c3d3a3b31301c |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
565623252123d6dc,c469616662635070 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.