Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A292719044793302D3C1E137B5AB9FB3E086A4DA031B4662FC83895FEADD6ED275A0 |
|
CONTENT
ssdeep
|
384:A/KqqJdXhQQyGdvENbuBewMHpg/otPzL4PzsxQsLgu4444J:EKqydXhQQlGmyugQQgu4444J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0364dc7c7d9183a |
|
VISUAL
aHash
|
f7c3c3e7e7dfc7c3 |
|
VISUAL
dHash
|
8c1e160e0c361e1e |
|
VISUAL
wHash
|
20c3c3c7c7c3c3c3 |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
8c1e160e0c361e1e |
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 311 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)