Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17572DA72B40C1477665B05C6E3A5B3AEF2A3C71C8E03688472F78B654BFEEA0F956540 |
|
CONTENT
ssdeep
|
384:ua67QnptzXL6Hsv09RR5UqRfhkhB3VzE2t3Ua/TR:P6kptzXmMiRR5UqRfhkhB3VzE2t3Ua/F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8caaa9acaeb9a8ac |
|
VISUAL
aHash
|
ff18181818181818 |
|
VISUAL
dHash
|
33f03232b2b23232 |
|
VISUAL
wHash
|
ffff1c1c18181818 |
|
VISUAL
colorHash
|
38000e08008 |
|
VISUAL
cropResistant
|
0202020202020202,a0a0a0a0a0a0a0a0,33f03232b2b23232 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.