Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D53297367385637312C74AB3FB1A27EAF369C59EC1278285B5B5C14C2798E118E637C8 |
|
CONTENT
ssdeep
|
192:qHX6uZ34YyqIcKoVV0+6wFmAk3ahZIolbpmfA1kASu9Kd:qDiYy/Y0+6wkKrIRArP9o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3966c9365616d6c |
|
VISUAL
aHash
|
663c006c7c2c2430 |
|
VISUAL
dHash
|
cc69e2c8c8c8c8e4 |
|
VISUAL
wHash
|
423c707c7e7c3c70 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
cc69e2c8c8c8c8e4 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.