Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F62E9535300271E52128285F623EB9AF397C185E3512CA4AAEAD37F99CDC7085373EB |
|
CONTENT
ssdeep
|
384:vyEVbT5bBdUREqLCnZG0PnlOAo8n4a6nLSgwRMnxD+/KgqD32sE:KEVbVbBdURyZGesY4NLSgZxDmd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e16b989865679365 |
|
VISUAL
aHash
|
c1c3e1e1e1ffffff |
|
VISUAL
dHash
|
9b8b8b43839086a6 |
|
VISUAL
wHash
|
c1c1c1c1c1cff3f2 |
|
VISUAL
colorHash
|
0e006000040 |
|
VISUAL
cropResistant
|
9b8b8b43839086a6,84081a1a046a6691,4101158981930551 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.