Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5335B32B6297D7C53CB40EEEB386952F3C1489CE5868524B5DCD29D13C2CC1629BBB9 |
|
CONTENT
ssdeep
|
1536:a0Hub+EsZ/8su2DeobkDawvMsBDw3MsBiwcN2/y9dGXDiJZBlvy40hxwW:aw02DeWPwDw6FN2aDSw09 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6b634ec05a38d0 |
|
VISUAL
aHash
|
01018f9f9f1fbf9f |
|
VISUAL
dHash
|
494b3973787d6176 |
|
VISUAL
wHash
|
00010f8f9f0fbf8f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
494b3973787d6176 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.