Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1324130D0A5AD2311A382D5AB739B5B33908248DB231F5667F8C36BEFDBD62DC16185 |
|
CONTENT
ssdeep
|
192:oX4ipJeqAwPp6KXdcKPBfWuZdktyWQ8Ch35EPWMcBRpAp6x2BI:upJerwx6Kt9BflZcyWch3ZMcdwI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf4fb0b0e2f0b4b0 |
|
VISUAL
aHash
|
ff38383838ffffff |
|
VISUAL
dHash
|
68627061623c6b49 |
|
VISUAL
wHash
|
1c18182800bfffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
68627061623c6b49,c7a667d1b11d17d9,2951d19989d69bd8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.