Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F53E77C000019EE903BC967B1217B58E07693ABDF2B8989FAED6214FFCAC505ED5674 |
|
CONTENT
ssdeep
|
768:ABLxlNuMDcZMnuYTHhTwr2njNybIN6RqK8UlMagAVT54f5pSRiCZv/k5WNcRewah:ENu5Mth3st37k5WFh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad93d2643932e699 |
|
VISUAL
aHash
|
ffffff0119f3f7ff |
|
VISUAL
dHash
|
cc94493b73062522 |
|
VISUAL
wHash
|
00ffbb0101f317f3 |
|
VISUAL
colorHash
|
07201080000 |
|
VISUAL
cropResistant
|
cc94493b73062522,43c363270e183166 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)