Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16221112275046C3E1223D6DAFBD8BB362769E6D0D71E1A00A5DE83A88FC6D51FC67244 |
|
CONTENT
ssdeep
|
24:hR/Y9s627RRhMZsGUek2djojhllUYllb29FCpUy5eqQ+vQK7Bvq55ePeA3NxiX:Tws6277gDmlb29FCSy5nf7BvPWA3NAX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97c0a0405537afdf |
|
VISUAL
aHash
|
7f7f3f063e3e1f3f |
|
VISUAL
dHash
|
cce8696a78686b68 |
|
VISUAL
wHash
|
673f1f061e0e0b0f |
|
VISUAL
colorHash
|
07002000080 |
|
VISUAL
cropResistant
|
cce8696a78686b68 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.