Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B72C6B7D1C15D3281435BD1EE92A62FA6CFC5B1CD01AEA092B5C7CB4BD1D88898E743 |
|
CONTENT
ssdeep
|
384:GGifg9c//Og6r/oEqgBhMGNSRvMp+7u5SMPxN:jifgG//Og6DlJBPSR0p6QX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2f788cd26678cc9 |
|
VISUAL
aHash
|
77e7ffe7673f3f3f |
|
VISUAL
dHash
|
8c0c144dcce0e0e0 |
|
VISUAL
wHash
|
7ce4e404071f1f1f |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
8c0c144dcce0e0e0 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)