Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4C31AF19644FA37429382D5A37BA915B362910FCD02C660D1E4CA8FB5F7CE2D823799 |
|
CONTENT
ssdeep
|
1536:bFsK590JPf3vfJcf02uXgAuD+xH696/oc7I6rRIQv:buJPf3vfJcf02uYD+lBFjv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb92c46f493b39c0 |
|
VISUAL
aHash
|
bdffdf818181c3ff |
|
VISUAL
dHash
|
71003b3b331b2b80 |
|
VISUAL
wHash
|
00ffdf81818183ff |
|
VISUAL
colorHash
|
07c00001000 |
|
VISUAL
cropResistant
|
71c43b3b331b23c0,6f5b7a619e8cd03c,0100419393820000,3894ddb5b5959dd3 |
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 5209 techniques to evade detection by security scanners and make reverse engineering more difficult.