Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143439371A2909A3711E382D572750B9BB3D0C348EB2303667BF9831C5FDBE95DD2A294 |
|
CONTENT
ssdeep
|
768:VUuEM15CJCN8/4UprCrPJ1Drqxhi3JKycth+LbNE8L7L:YM15CJPwUubJdrshiI1nqN/L7L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc96c8d0c3793c27 |
|
VISUAL
aHash
|
ff8381c3e781c3c3 |
|
VISUAL
dHash
|
b42f2b0f0f330b03 |
|
VISUAL
wHash
|
ff8381c3e781c1c3 |
|
VISUAL
colorHash
|
07078000000 |
|
VISUAL
cropResistant
|
b42f2b0f0f330b03,d498a9e8c8889796 |
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.