Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8D275735110563F0393C2C9B652B72E92D3934DCA592C0592FC67AE4BE7F50DD23A2A |
|
CONTENT
ssdeep
|
768:9SXy5NJdZBD3UdIijddIURf5CgQE7sOy2+y9BH4cLIe:bZBD3UdIijbnt5Cg57sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32906dc482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3e3cc4cc600 |
|
VISUAL
wHash
|
80ed71300c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
408080106c888000,1c49c3e3c3ccccc6 |
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.