Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188C2C73153482F3D6517C7E8FB61F724626DC29AD21A962CE6BC03B1128BD89F5277C8 |
|
CONTENT
ssdeep
|
768:5wCBsKnwoOvxvvwvPEM+cp8/IxPVL3kaNcFK:5RAZvYXH+e8Qxkgc0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838cccfc4e3c4c3 |
|
VISUAL
aHash
|
cb878787cfffffde |
|
VISUAL
dHash
|
3b3c1e1e3890cbb8 |
|
VISUAL
wHash
|
8183838387ffcb9c |
|
VISUAL
colorHash
|
06000080006 |
|
VISUAL
cropResistant
|
3b3c1e1e3890cbb8,b686870aca838363,ffffb3ed8dcd6cf9 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.