Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CD2B871B100363B419BC3C9B761F72BA6E34289D786081A53FD836D4BE7E50ED2351A |
|
CONTENT
ssdeep
|
768:hSzy5NYMsSrcJRKh450sJHe97sOy2+y9BH4cLIe:XiJkjsJ+97sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53ab038cdcc |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3d8cdc99b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c9c7c2cccdc90b |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.