Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB536332D283191290B7C5D5B072474973A1864DCB570A7577BE27BAFACFCB62622288 |
|
CONTENT
ssdeep
|
1536:LU+AqZ6ZLxCeeeeJBeeI+PUgOq61X9IyFn1LEeOC8KcEeKFFmoQCU4Obm7+luVCZ:CNejPUgOq65PvE3I42Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2cd6d6d3082c3ce |
|
VISUAL
aHash
|
42667e4666666646 |
|
VISUAL
dHash
|
ccccccdccccccccc |
|
VISUAL
wHash
|
626e7e6646666646 |
|
VISUAL
colorHash
|
03200038000 |
|
VISUAL
cropResistant
|
ccccccdccccccccc,432c8c9d8c8c4d57,d7693248cccc442c,97c46931f1e1a0ae |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.