Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4F26231F5251A3A8033CBE4B635ABBD71DBE38CDF070148A6EC429A93DEC65C917196 |
|
CONTENT
ssdeep
|
384:SUcz0C999Wpkcz0+vvvspUcz0+vvvspUcz0+vvvspUcz0+vvvspUcz0+vvvspUcl:0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92786d3992d16cc7 |
|
VISUAL
aHash
|
0234746c04003c3e |
|
VISUAL
dHash
|
94cde9cccdd5c8ec |
|
VISUAL
wHash
|
4674747e2e007c7e |
|
VISUAL
colorHash
|
07203018000 |
|
VISUAL
cropResistant
|
7133b6b2f0f2b099,5654548acba92929,94cde9cccdd5c8ec |
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 65 techniques to evade detection by security scanners and make reverse engineering more difficult.