Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174D209F1A2845D3F52134BE9F3A5737931AB516EEF460484D2B843B453E6DC8EE2B848 |
|
CONTENT
ssdeep
|
384:5SRD++W3Pd+LiIBNJK+byYrcnrurXBQyDikPnBjiTIlhXPbVRAp0AUzs5U:5SRq+W8iIBN1onKjBQwFnBjFhfbVPo5U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d9292926d4a72 |
|
VISUAL
aHash
|
fd839193dfffe7ff |
|
VISUAL
dHash
|
2b1637362a2a0e0e |
|
VISUAL
wHash
|
b981819383ffc3c3 |
|
VISUAL
colorHash
|
07400038000 |
|
VISUAL
cropResistant
|
2b1637362a2a0e0e,171363430b435307 |
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)