Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9B386F18208A8A3819383E4D679276B32C69599DB47064583FC8BE9FEF2DF1DC1D584 |
|
CONTENT
ssdeep
|
1536:zes/Y1t1mm/iwCeeeceeeLeee0eeexvDbvTNaNSk9qA9Skn10F:P/Y1t1mm/JacY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0077c3fe9cd87c0 |
|
VISUAL
aHash
|
07077f3f0707cfd9 |
|
VISUAL
dHash
|
3e7ce6ce9e7eb6b3 |
|
VISUAL
wHash
|
07077f074707c3d9 |
|
VISUAL
colorHash
|
10400038000 |
|
VISUAL
cropResistant
|
3e7ce6ce9e7eb6b3 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.