Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122C145739014C51E1EBBD28DEBC1F58C92A6C35BFA3454C3A1D4902F5EC0EF59896369 |
|
CONTENT
ssdeep
|
96:gRX01+pmojX01+LoOX01+YCmxRt7R1sX3MfMmORR1E8VConwGHtEm8x1eBl:gxs8mAscpsV3WcfMmUU8VCoF82P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeb5914a24b56a99 |
|
VISUAL
aHash
|
01ff99f0f0f0ff01 |
|
VISUAL
dHash
|
c35877654161618d |
|
VISUAL
wHash
|
01ff91f3f0b0fd00 |
|
VISUAL
colorHash
|
0e000c08000 |
|
VISUAL
cropResistant
|
c35873654561619d,aa81a973d389d1c2,000010d0e0600000,6468686663306341,0101010105000000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)