Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16793A83611452F6B105347E4861CE69AEB87E209C7D3CA86E3E8439B75C7DD2ED3A0E4 |
|
CONTENT
ssdeep
|
768:eRqSX5JPH/lGvH2tX7TZoOxhRn39J2g7qSX5JPH/lGvH2tX7TZoOxhRn39J2gBRK:x3MRAB0VRSPx0kCDc1lce0kxmLj8UY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe969696b6 |
|
VISUAL
aHash
|
00003c7e7efff3ff |
|
VISUAL
dHash
|
8493c8d0cccc27cc |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
ccc8d4cccc238e0e,8c92d2c3c0c8dcd4,4551253131394551,80ed252dedada2a9,01456171714d4180,a425440401dc8c9c,9998272bab222421 |
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.
Pages with identical visual appearance (based on perceptual hash)