Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A325F33B200DD2A8DAB558CF6C0AA89515DD385FB3148CAB1A491FF7BC4CF0699939D |
|
CONTENT
ssdeep
|
192:Q5W33JQd6FmbfMxZeNxkMcnthWeNWbgI7POHVfMmUU8VCo7W:4WS6FI2DI7POHVfMmUFCo7W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a62699d98926e6f2 |
|
VISUAL
aHash
|
1f076723ffffffff |
|
VISUAL
dHash
|
b02ccde580000000 |
|
VISUAL
wHash
|
1f03232300a0c1c0 |
|
VISUAL
colorHash
|
07003000018 |
|
VISUAL
cropResistant
|
b02ccde580000000 |
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.