Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BE2CA7261107B3B019392CAB291E75EA3E3934ED34A051753FD872D0BE3D50EE2766A |
|
CONTENT
ssdeep
|
768:P+t2SzSwmhtCYdCoGr09V7sOy2+y9BH4c1Ie:P+dels8P7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d248f9328d6d94e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9888c0c2cc0cc300 |
|
VISUAL
wHash
|
006c70380e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4d4d4c3008,0080800058988000,9888c4c0c8cc2cc3 |
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)