Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C327533E500DD694D974188F6C49988522DD349FB3248CBB1B491BF3BC4DF169A93AD |
|
CONTENT
ssdeep
|
192:gGR4+dgANhu3qxRfxbkMcnthWeNWbMlVfMmUU8VCoiC:/NgANhueAlVfMmUFCoiC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ece513932a916c6d |
|
VISUAL
aHash
|
fff3f1f1f1f30c00 |
|
VISUAL
dHash
|
08072727270758c1 |
|
VISUAL
wHash
|
fff1f1d1f1f10000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0f272727272750,00008080a85e5634,004026e8c8152901 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.