Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194912F326119BCBFC1036DDC6778AB2969E76189DE53DA026BF846E047D3EE0C81B805 |
|
CONTENT
ssdeep
|
96:i3Jllc3PYTpLBsWn0KSR2E+UMJETo4VoUYWUYbkxyrEHZ:8Jllc3wTpOW05R7+UIETo4Vo5W5bkxas |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1e4f63634f1c1c |
|
VISUAL
aHash
|
189e9effc3ffffff |
|
VISUAL
dHash
|
633c30c002000000 |
|
VISUAL
wHash
|
005e1f7f00000000 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
633c30c002000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)