Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191C385B2C59814B3525792D4A7A46B1F66C3828FCE630A96B3F4C7E41BDBCD3EC19214 |
|
CONTENT
ssdeep
|
3072:zYzHY4pzHY+zKsXp8HtPzWHC+WPS1KY+wPg180+QPI1/r+QPI1/E+QPI1/Z+BP5g:zGH2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13c3ec3341acef2 |
|
VISUAL
aHash
|
0040704e7e7c7c00 |
|
VISUAL
dHash
|
2096a994dcc8d8a1 |
|
VISUAL
wHash
|
4040ff4e7e7e7e00 |
|
VISUAL
colorHash
|
0f400038000 |
|
VISUAL
cropResistant
|
838784840809418a,c3c3c2821c0cc4b2,ca497173797169e9,121320286d8486b2,2096a994dcc8d8a1 |
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 637 techniques to evade detection by security scanners and make reverse engineering more difficult.