Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AD21B7BD7C0151909971262BF423D9BD93D4ADCA332E550ECF986C122E1C68C1BB6FA |
|
CONTENT
ssdeep
|
768:2bCa72Qb16aWynvgu9kcOSKjSAzvA5NpI9dBC3Lgot3:2PSvaWBa/OFrAHpIbmn3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c99979e3666666c0 |
|
VISUAL
aHash
|
40183c7c7e7c0048 |
|
VISUAL
dHash
|
d333f0c4d0c09393 |
|
VISUAL
wHash
|
601c3e7e7e7e4848 |
|
VISUAL
colorHash
|
38001440001 |
|
VISUAL
cropResistant
|
d333f0c4d0c09393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.