Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135E2A86363014976724396FBD31D3A12BBA4E980C7B3659CF3F5C22C4AC6D919F32A19 |
|
CONTENT
ssdeep
|
384:6H24FESfCd/LMlgP+CkLQkNv2TwNURfFeeqnCCXRgZBaM1TQ72Mgq8ffM:6CSfQ/LMqkLQktNhegjhsMMe72Mg1M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b24ded6d929613 |
|
VISUAL
aHash
|
fbcfcecfc3ff0000 |
|
VISUAL
dHash
|
d32c2c2c13466971 |
|
VISUAL
wHash
|
ff87cf8f83f30000 |
|
VISUAL
colorHash
|
07400038000 |
|
VISUAL
cropResistant
|
eeaad6dab2fad0b8,d32c2c2c13466971 |
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 92 techniques to evade detection by security scanners and make reverse engineering more difficult.