Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AD28651C5C4AD370583A6D99BF4770FB2A383EDCA225F0672F47ACB9EC2E968D01059 |
|
CONTENT
ssdeep
|
384:34a8hIe0T8IPBY2uQWdfVrs4qAxICxX22s1ku22s1kiuVE6w:34a8hd0T8IPGgWdfdKuICxXY1/Y1vuVs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dacfd7e321712064 |
|
VISUAL
aHash
|
3c3c180018180000 |
|
VISUAL
dHash
|
69617079e9f1549c |
|
VISUAL
wHash
|
3c3c3c3c3d1dbc06 |
|
VISUAL
colorHash
|
16200008240 |
|
VISUAL
cropResistant
|
33233331e0f8d0f0,69617079e9f1549c |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.