Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1495175638108DD3B9260C0D8E570636D5ACD828E97470B59EAEC437D31DA5FACC2EDC8 |
|
CONTENT
ssdeep
|
48:1Du6lvQW2Q1RmHDQeMhzwMnpWWUf1s9cKtub8CXSL5fh6qLv:1DRRdxwMiqOKtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6c58d766788d932 |
|
VISUAL
aHash
|
f3e3e7dfe79f9f1f |
|
VISUAL
dHash
|
020214000c102121 |
|
VISUAL
wHash
|
e0e1c1db87870f0f |
|
VISUAL
colorHash
|
07002008080 |
|
VISUAL
cropResistant
|
020214000c102121 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.