Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE2B431B0007B3B0297C3DAB361A77EB3A79345D74A094592FD836D4BA3D94DA3351A |
|
CONTENT
ssdeep
|
768:QS5y5N0U6ibSbcJN4v+H7PxnssbotmM7sOy2+y9BH4crIe:i6CN4vFszM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d928b |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
19094b43cd0c3300 |
|
VISUAL
wHash
|
80e5e301040effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff9797fffffe,0080800078908000,1a0d4b0b43cddc33 |
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)