Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146F124E1C048DC3A131385E5B7F5675F76A5C345CF020A8853F852AA5BDFCA0C927A9A |
|
CONTENT
ssdeep
|
96:Tkxt79oh4lzH03feGnVRKeEBwvFReRXtHFqeFXTz/xVRkQQkR:Qxt79oh4lzH031nyeEXbPNzZ8QQi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9303437dbc3cbc86 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
06d9e1200b236c11 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
dcc9203038300809,0100000000000000,0404002048c8d4ed,03332323a0cc6b63 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.