Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CD2743224046C33023358A0EA71771B72C3F27EE9CF94E5C5E96A9A57CFE7958901DA |
|
CONTENT
ssdeep
|
384:r+gFpGDzYQXunG6LbhG6pVqT2tAwI7VA0DirD68UBVdgW:UFXuLb/o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a383950d0989b77f |
|
VISUAL
aHash
|
ffffffff00ffffff |
|
VISUAL
dHash
|
c00808804d090008 |
|
VISUAL
wHash
|
27e7e70000ffff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c00808804d090008,0000001010100000 |
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 169 techniques to evade detection by security scanners and make reverse engineering more difficult.