Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D76297F19148141F2326D5C5EAA6AFCD6267850BCB0E057BF6B8245FB68ECF8C4B6350 |
|
CONTENT
ssdeep
|
384:9MF7ESiSp01MGgR7IWQ8bg2TKXkDPTWl4Nk9Gs90s90s90zdti:84jw0uGg5zbg2T4kDPTytAs6s6s6zdti |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3666626ce33cc26 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7ef |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4c |
|
VISUAL
wHash
|
0707070704042424 |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4c,81f27be2d4507cf9,ffffffffffffffff |
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)