Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA38933411935274437C6D530A55B3BE2E6D98FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:kx0+Lz4NP/y9svbliCdBBuqrFtiuCa28y2O9:+zmA27g |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412c5ed92ea6db2 |
|
VISUAL
aHash
|
3e1c0ecfffe1e3fe |
|
VISUAL
dHash
|
e8f4b43c0c0307bc |
|
VISUAL
wHash
|
3c000ccecfc1c7fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e8f4b43c0c0307bc |
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.