Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A71833071101BBB09D7D9F6BB925B5EA6D8C28DC23BC794B3F5C2D007DAC6A9C50241 |
|
CONTENT
ssdeep
|
48:9QCB2vl/Jp0AFcB/MVKFzHsrGUmChJK5eWWEeAZt9r00bGdtkf/JI286:xBgXmmbQe6UfJKotdCrnQtKI+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc7070ce719f6531 |
|
VISUAL
aHash
|
407c1838183c3c40 |
|
VISUAL
dHash
|
8aa0f07170607086 |
|
VISUAL
wHash
|
427e183c3c3c3cf3 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
04300e8e86063000,8aa0f07170607086 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)