Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D2A431B110263F119783CDB711B76AA2F39389E789085593FC83AD1BD7E54EE2352A |
|
CONTENT
ssdeep
|
768:xSzy5NsBvhJNTdD7d3wNL0A/177sOy2+y9BH4cLIe:MpJ7K0A/d7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f53a98388de5 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
c8cac3d8cdc98b00 |
|
VISUAL
wHash
|
60f370300405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8cac3c2c8cdc90b |
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.