Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B530A993854701A476340F390BB2EC9B7391C2FF91C55E1A4B4CBA5B2B84F5216BF8B |
|
CONTENT
ssdeep
|
768:7yWuPcNwGyu/CW/usH198n+1QLZ5v5XMFiF/DfTzLoSLM3X8USgTkRudZvNP1wIo:yF2P6lfUyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b947c47847303b7a |
|
VISUAL
aHash
|
7f9f8f8f898fcfff |
|
VISUAL
dHash
|
c4793b1a3b1b3ca4 |
|
VISUAL
wHash
|
000f898f888f8fff |
|
VISUAL
colorHash
|
07010000e00 |
|
VISUAL
cropResistant
|
c43b1b1b3b1b3c24,00000c7071792814,37199999999d93cf,4585587072220c21 |
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 703 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)