Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185E2A631B1006B3B41A783CAB752F729B2E3828DE745180143FD935D5BEBE91DE2352A |
|
CONTENT
ssdeep
|
768:r0y5N1asJqOIQR808ZJDK56jSs7sOy2+y9BH4cLIe:isJFI68Ea7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c12c76d926979b2 |
|
VISUAL
aHash
|
3e1c0e8fcfc1f3fe |
|
VISUAL
dHash
|
e8f4b43c3c0307d0 |
|
VISUAL
wHash
|
3c180c8ecfc1c3fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e8f4b43c3c0307d0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)