Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16ED132E1D400DD3B071386D5ABBA6F4BB791C749CF070944A3F883AB9BCAC60CA1558D |
|
CONTENT
ssdeep
|
96:TkH1bnthH71tVUqt0yt743Fk+XCHFraXcz/nt7Z1DY2oJ:QH1bnLH71TUqt0yuW5zfb1DYZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b32466e64d1999 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c100808100800 |
|
VISUAL
wHash
|
e7e7ffe7e7000000 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
004c0c10080c0c0c,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.