Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149933CA2E240E92694B74086A09FE35572765816FB0D0EA0B70DCEED73D786B2333795 |
|
CONTENT
ssdeep
|
768:K1T0TQH7YFruanQGYjiDkyO2cgIY3pwh6kbFZ+SncMRCxp/HA3bVzc+b42NB2jIa:KGDkyO2cgIY3pwh6uFZXiARzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73fc7c1386131d4 |
|
VISUAL
aHash
|
203c3c0038787c70 |
|
VISUAL
dHash
|
ca60e869c0c1c1c0 |
|
VISUAL
wHash
|
283c7c383c7c7c78 |
|
VISUAL
colorHash
|
00000038000 |
|
VISUAL
cropResistant
|
d8c8c2c8cde4cddd,0008101010100000,ca60e869c0c1c1c0 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.