Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129130C306814EE2741CBA9C95276972A62F98341C6130689FEF5C7F95BEFD6DCA33210 |
|
CONTENT
ssdeep
|
768:79KSWgsIx/jUrXUe/LDeeegeeereeeqeeeCfCa1pCUf7qpH+K0PWo:hKSWgsIx4rXUePeeegeeereeeqeeeSpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d6c56d1a93c1cc9c |
|
VISUAL
aHash
|
f0c0f2ecece4e480 |
|
VISUAL
dHash
|
6a06c6c8084c8c01 |
|
VISUAL
wHash
|
f0c0f2ecfcf4e480 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
958da91356562727,6a06c6c8084c8c01 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.