Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A95164678108DD2B9260C0D8E570636D5ACD828E97460B59EAEC477D31DA5FACC2EDC8 |
|
CONTENT
ssdeep
|
48:So6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:SPRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a258896766dddd22 |
|
VISUAL
aHash
|
0101031b070f0f1f |
|
VISUAL
dHash
|
454992312d525495 |
|
VISUAL
wHash
|
03030f1f071f1f3f |
|
VISUAL
colorHash
|
07000408010 |
|
VISUAL
cropResistant
|
454992312d525495 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.