Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108E2E9F8576492F8D403E3F4D723BC283E5728FBAB05CAA492E54C54EAE1C4E8855C93 |
|
CONTENT
ssdeep
|
384:8UugmsoNlr+weMKvIZLmKT6alPC+sCjFaUKZgfLvHkrLqS4PTEO9OHfT1vsqkIja:FuF0g5bT6WPDKZOvrSK5oLa/5uNY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dad86072dac8e62d |
|
VISUAL
aHash
|
c000bcbdff240000 |
|
VISUAL
dHash
|
a5b16068684c1208 |
|
VISUAL
wHash
|
c000ffffffe70000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
04fb9254d4d6974b,cbaba9eadec61626,2dea92d2ae8e3604,5a6a66b666b5b535,5a6a66b466a4b575,691915c6d6d6c440,9616186871cc4c0c,a5b16068684c1208 |
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 1969 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)