Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F331CF93949B5121FB280D660AF295BB33E142FB40C55B0B260DEA974BC499507BFCE |
|
CONTENT
ssdeep
|
768:WyWu/PNwWyuv5T9H+G/11QsDZ/u5HdX8U+vuDvXVfpSxHyOzxHRBaW/Sy3sIWj8O:grXyyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97555454431f787a |
|
VISUAL
aHash
|
00fe1f3f3fbfbfff |
|
VISUAL
dHash
|
a868777658647414 |
|
VISUAL
wHash
|
003e0f039f1f96f6 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
88707776d8647414,320c206961690c20,45453b88c4e45945 |
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 475 techniques to evade detection by security scanners and make reverse engineering more difficult.