Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124D1FEF1D400ED3B435386D9A7B66B0BB6D1C349CF071A4593F893AB5BCACA0CB11999 |
|
CONTENT
ssdeep
|
96:nkHnfzD71tDlt8v67McdtGytsA/WFr46XEHF22Xpz/J9YfO2J:kHnfzD715lt8iIGtGyeA7vzbcOw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b319cc6666cc4c |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
0808080c10000000 |
|
VISUAL
wHash
|
ece4e4e400000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0808100c0c000800,0000000000000000 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)