Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AE2C7317000363B41DBD3C9B761E72EB2F3834AEA56094592FD83AD1BA7D50DA3361A |
|
CONTENT
ssdeep
|
768:TS5y5NkoANNaODIa2CU+HfeZtv/aYrW277sOy2+y9BH4cLIe:tAXspCXMaY77sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d928b |
|
VISUAL
aHash
|
000000000404ffff |
|
VISUAL
dHash
|
110d4b43cd0c3300 |
|
VISUAL
wHash
|
80e5e1010c0effff |
|
VISUAL
colorHash
|
39400038000 |
|
VISUAL
cropResistant
|
fefeff9797fffffe,0080800078908000,120d494b4bcd5c33 |
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)