Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151D108B9E3A80A7D6705C7886F28363D617B41ACF3A52164DB9B04A3D150EFB9435CC4 |
|
CONTENT
ssdeep
|
96:Thf5KRXzMPUNJEtGqrtMO3HHQOuf57z+gF9XjC9Ktzvugob:ZwFNEtLQOwzgqG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8ddd2e2e288dd64 |
|
VISUAL
aHash
|
7f7f1b1f03070301 |
|
VISUAL
dHash
|
addd96b7876fb5af |
|
VISUAL
wHash
|
7f7f0b1f03070703 |
|
VISUAL
colorHash
|
02600018000 |
|
VISUAL
cropResistant
|
addd96b7876fb5af |
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 2580 techniques to evade detection by security scanners and make reverse engineering more difficult.