Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5A37933411935274437C6D530A55B3BE2A6D94FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:MGs4Lz4NP/y9svbliCd6eWESvFtiuCa28y2O9:HlmAzv0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9412c5ef92696db2 |
|
VISUAL
aHash
|
3e1c0acfdff3e3fe |
|
VISUAL
dHash
|
e0f0b41c38030798 |
|
VISUAL
wHash
|
3e1c008ecfc1c3fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
e0f0b41c38030798 |
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.