Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11353B720A350167700E773D5FA62AF8EA240D3C2DD460ED5C5E54EA5BBEBE60EC1E394 |
|
CONTENT
ssdeep
|
768:6i5fSEMSsh8kmUrvjB+R/1/QYKnj4w/PEDD8+vuARE88tXi:6+T5uB+R1QYKnj4w/PaDZHE9Xi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc49474316c6e1ed |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
c13202383a02282e |
|
VISUAL
wHash
|
008bc39fcbc39f83 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
020301f1f1010208,321236341222242e,00108084a4a45000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)