Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D620139B4023C36263799C0F4E66F096193EB7AC5290D6CF7A906955FC6CE49C71378 |
|
CONTENT
ssdeep
|
384:H+oHnu5hsKY8Fh5LfR4LfRiLfR9LfRgrC3TzhBeC3D:H+75+t8Fh5LfOLfMLfPLfSrC3TzhBeCz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a6dd996699887326 |
|
VISUAL
aHash
|
ffffffffc3c3c3ff |
|
VISUAL
dHash
|
c4100c104d4dcdca |
|
VISUAL
wHash
|
7fc1c3df0303032f |
|
VISUAL
colorHash
|
07200088201 |
|
VISUAL
cropResistant
|
c4100c104d4dcdca,c9c5251148c94935 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.