Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15631DE37E824005A0615CDFCE48334FCC7D7A7ECCA94D99812D0508A75B91BD95F231E |
|
CONTENT
ssdeep
|
48:gnFOzEP7924T6q+urFe2AK5btxP1FDF2d:COzEP7924Oq/rFe29btxdF8d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636991927262f1d |
|
VISUAL
aHash
|
03cf83a3efdfffff |
|
VISUAL
dHash
|
9e10274f8e162800 |
|
VISUAL
wHash
|
0307030307c3ffff |
|
VISUAL
colorHash
|
072010000c0 |
|
VISUAL
cropResistant
|
9e10274f8e162800,019696f6b6064601,468f1b245b370e9d |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.