Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A9165F2D04E0D2F164746C062C2B524E18FD46BC794A644E2B983F86FF7F63542A64A |
|
CONTENT
ssdeep
|
48:3czjbDKDlpDKTVW1DKWfDKW2LnDKEeBPDKFC1tKiLtKB8LaKLKTANtWhaKjK9Sar:MwoC0nAOqSp37/QJpaMpcq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96e913e916ec06ec |
|
VISUAL
aHash
|
ffefffffffffff00 |
|
VISUAL
dHash
|
485a242400000264 |
|
VISUAL
wHash
|
0f0f373f0f0f0300 |
|
VISUAL
colorHash
|
070000006c0 |
|
VISUAL
cropResistant
|
485a242408000000,022414ec6c044200 |
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)