Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10541CC7060589D734152D8D412EA6B2F72CE412CDDD34B059BF883C88FEBE4AE850591 |
|
CONTENT
ssdeep
|
48:5xcC2dwHJJDfeSCJKH3TpRIDjj0dzjACCcnCg:Pb2dOJJDfLC0TpYcdzjACCcnCg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c87663cce66299c9 |
|
VISUAL
aHash
|
f0d8181818185060 |
|
VISUAL
dHash
|
0032303030b2928e |
|
VISUAL
wHash
|
f0f81c1c1c58f8e7 |
|
VISUAL
colorHash
|
38000600030 |
|
VISUAL
cropResistant
|
0032303030b2928e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.