Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1C2A6246208393F252746F8F666B73891B99286CB1BD51CB3B812B057CACD5DD273EC |
|
CONTENT
ssdeep
|
384:uemUyJfEctpe/fiIVmPBJzJC4WeoWyz5EUP+jJlLX:3mUShIVahRWeo15EUP+jJRX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
911336bad949d5b4 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
cadcdaaa381a0e04 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
459a98d8989a862a,daaa10380a0e0608,5a4cdcd64cea9aa8 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.