Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCF2D43CD245683F05A7B3E1AA68B35962918ECEE843133542BDC35D6FDAD88FC025B4 |
|
CONTENT
ssdeep
|
384:HMdM1wIIQtydIIIII9WlB+LPL9ABuJFH+JTLMi2yW/ThDFn9jEZt7aRpW:qIIQteIIIII79DJFETL/zW/ThDFnwtOe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3733c94193973 |
|
VISUAL
aHash
|
00e3ffff3f181838 |
|
VISUAL
dHash
|
8fcfcbf5ed73f0e0 |
|
VISUAL
wHash
|
00e1efff3f181838 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f3e3d3c2cd988c8c,000030323a380400,8fcfcbf5ed73f0e0 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.