Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128335C726731B8A882DF52EEE7382E49B1C6559DFCCB4540F1C95A8D23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:asuoa+EsZ/8hcDVR3MjBpR5MjB2DrpRXPZlQaQD9OehM+BrUgq4z:asuoPtR8RfDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac4edc99294e4c1 |
|
VISUAL
aHash
|
ff81818d8d818181 |
|
VISUAL
dHash
|
43114d4949494901 |
|
VISUAL
wHash
|
ff81a1cded81e181 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
43114d4949494901,1fdeceaee6ced060,4398868c88caca00 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.