Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C2274F1D0A4AF37072682D4A776BB6B72B1C284CF42095453F4836D6BCDDA0CE259AD |
|
CONTENT
ssdeep
|
192:Qnqce41YgZnz8inzluV5TkwGlOyXPoVyr4f8F:Qnqw1YwzBzS1kwG0lC4f8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec739313916c85 |
|
VISUAL
aHash
|
fff3f3ffffffff00 |
|
VISUAL
dHash
|
2e27262600220000 |
|
VISUAL
wHash
|
a0808090ffffff00 |
|
VISUAL
colorHash
|
070000004c1 |
|
VISUAL
cropResistant
|
2e27272600260000,e17d7871617f7f0f,0000002020202020 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.