Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C02253739880612F42C383DDAA61672972DF808FC6460651D6F993B8DBC5CDAEC3396D |
|
CONTENT
ssdeep
|
96:EmBd7WxS9+8Ub7BU2lNauNIkc8MUC64R7QM3xThXjng9tdtc9vjN6Uh:Fd0SUprzjIbnodtBc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b39f4ce633894c86 |
|
VISUAL
aHash
|
bfc7ffefe7e7ff00 |
|
VISUAL
dHash
|
6a0c20494c0d1302 |
|
VISUAL
wHash
|
bf031f07a7e1f900 |
|
VISUAL
colorHash
|
07006040000 |
|
VISUAL
cropResistant
|
6a0c20494c0d1302 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)