Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EE2B77161406B3F01A792CAB251B75A63E3C34ED34A191293FC832D0BA7E51DD6726F |
|
CONTENT
ssdeep
|
768:MQeHgbWmScg7517ZCB6dbp7sOy2+y9BH4cLIe:6gUTbF7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f81a8d6992e1 |
|
VISUAL
aHash
|
000020000004ffff |
|
VISUAL
dHash
|
d88cc8c8ec0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08304c4d4d4c3008,0080800058988000,d88cccc8c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.