Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CE1B73872C5277607C342B7F26B67EABB15C54AE327129879E8C19C23D0D508F31AE4 |
|
CONTENT
ssdeep
|
96:TfLvShoVbeZ5ZdxTFwKTyi3m5ZLOPuWOEu21Kl/OBYoXn7LFwTxIgkEjF:rGeClvSNiWavXu217937yVIgnh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e3ebe0ea626bc1 |
|
VISUAL
aHash
|
ff7e00427e7e7c18 |
|
VISUAL
dHash
|
caf0c094949494b0 |
|
VISUAL
wHash
|
ff7e00465e7e5018 |
|
VISUAL
colorHash
|
38006000010 |
|
VISUAL
cropResistant
|
caf0c094949494b0 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.