Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7E34CB373102876414FA1CBD05A2A8F72C79785C79E85B062F8835C76E9CA07A55FF4 |
|
CONTENT
ssdeep
|
1536:VnH3UNqSNyY5VPl4RMIXSCeNh6FaV3MmlJU+/cSyRjGFL9BHcL/7ai8GHtZcgI9R:dRjbSnM2vKFz9/T3I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fec11b37b4611c19 |
|
VISUAL
aHash
|
fffdf8f18c808080 |
|
VISUAL
dHash
|
a161e3a338292a32 |
|
VISUAL
wHash
|
fffdf8f18e808080 |
|
VISUAL
colorHash
|
06400019000 |
|
VISUAL
cropResistant
|
c161e32338292a32,e88c9e31f0f2e0f0,0010083133310810,9696b293133130d6,b21a565a597938b0,8697b3f2f3b3f3ce,9e2d6763838f068f,6c4c3f1aab869b51,c7c7c7c75f42670e |
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 675 techniques to evade detection by security scanners and make reverse engineering more difficult.