Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A01386722104DD3316A78ADD6A71A32AB0F74309C6630585F6B8C3FD2BDBDA9CD36056 |
|
CONTENT
ssdeep
|
768:xeoJ5cOSk1Dw7P0PewiOTIDRCRff/rPyYPalm4eV54gr3Sm:xeoUOSk1Dw7cnRfraY69a47m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc653461639b9ace |
|
VISUAL
aHash
|
00003c3c3c3c3c3c |
|
VISUAL
dHash
|
9696617161717171 |
|
VISUAL
wHash
|
0000bdbd3c3c3c3c |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
9696617161717171,0060109090804000 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.