Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163F1CBE0C415FE3B471786D9ABB66B0B77D1C359CF02094093F883AB9BCAC60CA155AD |
|
CONTENT
ssdeep
|
96:TkJn7H71tVUrdt7saGEwvF4QeVXJHFzepXuz/VYL1hY7+5YOJ:QJn7H71TUrduaGWHk4z9Q1hb5r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b30c66e64c4ce6 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
080c18080c100800 |
|
VISUAL
wHash
|
ffe7e7e7e7000000 |
|
VISUAL
colorHash
|
07000038040 |
|
VISUAL
cropResistant
|
000c4c0008100c0c,0000000000000000 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.