Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA39933411935274037C6D530A55B3BE2A6DA5FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:EBEysQLz4NP/y9svbliCdDhkLinUfywFtiuCa28y2O9:xOmAeOqz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b412c3edc6ba6932 |
|
VISUAL
aHash
|
3e000e9ef3f3fffe |
|
VISUAL
dHash
|
e0b43c3c163714da |
|
VISUAL
wHash
|
3c00048ec3f1effe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e0b43c3c163714da |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.