Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18793FAB3E466253743B741C67D413E4FB785800DDBAB5C4282FA4389F7D2FAE6A52206 |
|
CONTENT
ssdeep
|
1536:6WnmJTQi447RVKpasUG529ewYVabYraVNf2UQGETJBpXor6JoZrCOq0XWMgeKp+3:6JsIpScEtBgvgCQlS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb9417694e22b0cf |
|
VISUAL
aHash
|
e0fffff1b18181a1 |
|
VISUAL
dHash
|
45298c2563132b6b |
|
VISUAL
wHash
|
f0f0fff1b18181a1 |
|
VISUAL
colorHash
|
066000000c0 |
|
VISUAL
cropResistant
|
050aa52363136b6b,404040c0c8c04444,0040264949404000,8801816155591931,80111373b2b0f0b0 |
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 116 techniques to evade detection by security scanners and make reverse engineering more difficult.