Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127032F316840ED2740CB5AC89172522661FA8389CA670688FFB5C7FA5BEFC7DDA37110 |
|
CONTENT
ssdeep
|
768:pBsIx/jGdMrz8tje+GoVba1wmUf71GgH+K0Pm:zsIxydMr5+Gopam5718m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed19ad8191e71647 |
|
VISUAL
aHash
|
ffc180c06861f3f3 |
|
VISUAL
dHash
|
330304089ac723a3 |
|
VISUAL
wHash
|
ffc180c06861f3f3 |
|
VISUAL
colorHash
|
06002208080 |
|
VISUAL
cropResistant
|
330304089ac723a3,860a0808081a3226,d9c04daa82cc4d4d |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.