Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3516463C108DD3B9260C0D8E570636D5ACD828E97460B59EAEC437D31DA5FACC2EDC8 |
|
CONTENT
ssdeep
|
48:Br6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:BeRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f798993677888833 |
|
VISUAL
aHash
|
fcfcf8f8e0f0e0c0 |
|
VISUAL
dHash
|
0000001008000000 |
|
VISUAL
wHash
|
fcf8f8f8e0e0e0c0 |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
0000001008000000 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.