Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1927275717210093E61238BD8F5A0FB6E61ABE24DDB975D89B3BC916367CACC8DC74160 |
|
CONTENT
ssdeep
|
384:94B3BAienb/C73bhb+3g1bF3Pbr3meyAP7vILq+YNMBgTfC5t:94BxcnjCbVq+pfH2xAP7vIG+YNMBgTfI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3fc4c49072c8ce |
|
VISUAL
aHash
|
8f07010f8fffe7ff |
|
VISUAL
dHash
|
795b59195b856d0f |
|
VISUAL
wHash
|
070300078fe7a7ff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
795b59195b856d0f,a8a280aa9e8080aa,3fcfb3d3b38dc973 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.