Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2D1532FC4B94107221A55FCF394755CFBCF21099CD81DA07AD144AE93B68B6BDE3289 |
|
CONTENT
ssdeep
|
192:bhvveDwGX8te8tCt8t08to8tQLVrLxtLnLVmDELVoCfi3VhmV7mxtmnmjm3mV2:bBv+wGX8E8It8q8O8OprltrpmQp10hwR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f60c0c02d2f2b |
|
VISUAL
aHash
|
01870187ffffffff |
|
VISUAL
dHash
|
536b6b7c08200e00 |
|
VISUAL
wHash
|
010301078fffc3ff |
|
VISUAL
colorHash
|
07400608000 |
|
VISUAL
cropResistant
|
536b6b7c08200e00,80426343c3436b40,cdae1a96d671b305 |
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.