Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199122FB0D450FD36470282C6AB76671F76A2C34ACB420E5497F8536A67CEC61CE225ED |
|
CONTENT
ssdeep
|
96:TkfR8zaXS3eSTJ8v67evtYxwI3wIBIBIBI3VWhFweXZHF1RwXkowI3NIa/jEBtxj:QfR8z4Sr98ikSxfJHLoPLQ5U7NP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4c464a89909fef7 |
|
VISUAL
aHash
|
7676f6feffff0000 |
|
VISUAL
dHash
|
a6a6eec0d821c020 |
|
VISUAL
wHash
|
7676f6feff020000 |
|
VISUAL
colorHash
|
07200008200 |
|
VISUAL
cropResistant
|
a6a6e6eee4d8c401,98989898986462f1,591b1f3b0f4d4d4e,942c53424655d87d,9383a72523333363,0000000000c02020 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.