Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3927633F22C020D21573465D9D372A6BB6A0D3E7A462F787861D21FD25C73AA2326B4 |
|
CONTENT
ssdeep
|
384:Fg3xDJas08nEOEZLRylw76VfIJG6iQiP63bKsaLG:Fg3xDJd08nEOEZr6dkGfj63bNaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9c9c369c3693896 |
|
VISUAL
aHash
|
ffff81818181c3ff |
|
VISUAL
dHash
|
0233232b2b032b00 |
|
VISUAL
wHash
|
ffc381818181c3ff |
|
VISUAL
colorHash
|
17040e00000 |
|
VISUAL
cropResistant
|
0233232b2b032b00,2323010101010101 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)