Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DF252B08096943B003BE0D2D67A2B1934E683ADDE47061592FC5BFD37DAC61FC27669 |
|
CONTENT
ssdeep
|
768:TRz4Oyw0s2l0mkY8kBEtw0s2l0mkY8kBEx18Um2c+gxp1mO3bbXsSWC3Hyr/TYKL:T54Oyw0s2l0LY8kBEtw0s2l0LY8kBEzn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9d9a5252d2d0d2d |
|
VISUAL
aHash
|
03fd8dc88c000383 |
|
VISUAL
dHash
|
b29919391908962a |
|
VISUAL
wHash
|
03ffddcdcc840383 |
|
VISUAL
colorHash
|
07203000200 |
|
VISUAL
cropResistant
|
b29919391908962a |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.