Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0B209B29354A73B0593D5D1FB352B99F394908BDEB35601A2FCC24C8BDBDA0CD12A84 |
|
CONTENT
ssdeep
|
384:kBIjgKLcBT86M+006r3dhfKXw8uwcvHwkBlpb3Dzvh/WmG:keFLcO6/b6rthfKXyvVBlpb3Dzv9E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc739923638c36c |
|
VISUAL
aHash
|
fffffbf7f3ff8181 |
|
VISUAL
dHash
|
2cd29396c6c73333 |
|
VISUAL
wHash
|
83f3d1d3f1f18181 |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
2cd29396c6c73333,0632726272328e98 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)