Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D433557111826B3F108381E2E755A63BD3C6D60ACB2B4D97F7F8C36772CADA09D25168 |
|
CONTENT
ssdeep
|
768:Z6EUKqcU0W1E0tHUzQK7lSic00malDCEUKqcU0W1E0tHUzQK7lSic00malDYJ0kJ:aJ0pyeaWM50xxTAa8L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
961c6d63c3c1d39c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
cb277cdccccc334c |
|
VISUAL
wHash
|
00007e7e7e7e81e7 |
|
VISUAL
colorHash
|
07086000000 |
|
VISUAL
cropResistant
|
e2ee8cae98b68c8c,010084304c4d300a,d12f34ccd4cccc33,961697b114a6ca32,452549d5e5710145 |
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)