Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E191855BB10C37354E110255AAC0A7BEEB5A44FCA1651BCA39CDC13DB6D07EB8C71B81 |
|
CONTENT
ssdeep
|
96:ToA7B9Rn7YUmC2kMGAEZhySpmLP9luOIf8xT79/u:RBTxmTIyFL/8ExTB/u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be5a43450d3d314f |
|
VISUAL
aHash
|
00fddf9fffffffff |
|
VISUAL
dHash
|
6841393e211535c3 |
|
VISUAL
wHash
|
00bd87878f8785f3 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
49313e2d30353de6,0020167169160800 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)