Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14ED29231E000363F229792D97B51F76EA3E3A249E756080652FD835E1BE7E50DA2361F |
|
CONTENT
ssdeep
|
384:oNSFy5NGEisI/wDGALx2vswV/6SK/RQKVBHxjDrIYsOy2+y9BH4ciUIe:qSFy5NG8DGAGi32KB7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f83acc2c91c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0808c8c0cc0c0f00 |
|
VISUAL
wHash
|
00ece4302407ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,8c08c8c0c0cccc0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)