Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DF11FF1D040ED3B035385D9E7BA6B0B7691C749CF47068593F883AAABCAC60CF16599 |
|
CONTENT
ssdeep
|
192:Qbq6lq6Vq6BqRnfzD715lt8iIGwyBzDqwHROXCBD7yBbaqw:Qsnf1ZwoFxv7Eaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9ac4939b |
|
VISUAL
aHash
|
f3e3f3d3dfffffff |
|
VISUAL
dHash
|
26262626b0100000 |
|
VISUAL
wHash
|
d0c0c0c0c0c0f0f0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
26262626b0100000,7870727e606c7e7e |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)