Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123335C736731B8A883DB52EEFB382D5AB2C55499E8C74410B5C9968D23C7CD13287BB4 |
|
CONTENT
ssdeep
|
1536:ap+EsZ/8xTDVRfMjB1RoMjBaDrpRXPZlQaQD9OehM+BrUgq4z:a2cR2REDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6a3a7848c1c9c3 |
|
VISUAL
aHash
|
0107bfbf3f1f0f9f |
|
VISUAL
dHash
|
1f6d6c6e655c5c79 |
|
VISUAL
wHash
|
010397bf073f078f |
|
VISUAL
colorHash
|
07000600030 |
|
VISUAL
cropResistant
|
1f6d6c6e655c5c79 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.