Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189D35676513C2C7E2A379FC0E258372AB583A00FCA4615C6A2FDC3E85BF6CE29855157 |
|
CONTENT
ssdeep
|
3072:vjasdRe8At8lBYqR907Pe3A0jhJ3DWpnIqIxDxzfT5K0zLpwoLYAndmoTBnvSSh8:v2sdRe8At8lBYqR907Pe3A0jhJ3DWpnB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df43a8ac1fa182c7 |
|
VISUAL
aHash
|
ff00200030ffffff |
|
VISUAL
dHash
|
7b01c44c64273626 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
07001000480 |
|
VISUAL
cropResistant
|
7b01c44c64273626,328282929a92cacb,0005848c8cd494c4,a9ababa333339393 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.