Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3F113E1C444DC3A131386E6B7F6275B7596C349CB060E8853F852BA5BDBC60C923A99 |
|
CONTENT
ssdeep
|
96:TkU8C7khOlzH0XfeGnVOiifEB5wvFKeBXcHFuRexjX1/z/FVOhWQPJ:QUX7khOlzH0X1nlifEsqJvzNeWQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303437bb83cbcb4 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
d8cd4420283327c4 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94bda984b4e,0020303830080831,cc01000000000000,042449dcd5c9ccd4,393b0313232323ec |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.