Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DE11DF0D040ED3B035286D9A7B96B0B7291C749CF07054593F883ABABDAC60CF26599 |
|
CONTENT
ssdeep
|
96:TkCtn7D71tVt8v67McdKytJrwvF4QehXVHFSehXaX/gnCytF6fd2J:Qcn7D71Tt8iIGKyn37b8XByzadw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7e71898ac189a9b |
|
VISUAL
aHash
|
ffe3e3e3f3ff0000 |
|
VISUAL
dHash
|
0e0e4e0e0ef10600 |
|
VISUAL
wHash
|
ffe3e3e3e3000000 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
060e0e4e0e0e4ea1,5c70336c7a7d7d7f,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.