Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126B2D73BE1C41E6A028375B2FF02BA97E53B455DD331D5B0DD68865273E08B581BB2AC |
|
CONTENT
ssdeep
|
384:GMFMHMM6Qb7Uh+z4a4Oz1hQk6U4rjNveQIytlr8sBCo0Oi:GgeMlQb7B4Oz0EyveJytN8sQj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86935c5c69e361d5 |
|
VISUAL
aHash
|
c03f2f6f00909000 |
|
VISUAL
dHash
|
0d7ccdcd28256424 |
|
VISUAL
wHash
|
ff3f27ff00b0b000 |
|
VISUAL
colorHash
|
30006440000 |
|
VISUAL
cropResistant
|
0d7ccdcd28256424 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.