Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6B3B6EBE0281536031B69DB61847B4BBAB2C00DCB915C21D6FE6359FFC1F95B5222C9 |
|
CONTENT
ssdeep
|
1536:lEgAHTQZ44pt/mJYZPf3LoHFB2XzKgP8PtLeG+mXYjMztoMyV:l/GhnS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee91464a39744b5b |
|
VISUAL
aHash
|
00ffff8301b1c080 |
|
VISUAL
dHash
|
410dcc1639612755 |
|
VISUAL
wHash
|
00ffffc381b1e181 |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
550a441679612555,4030c8c8c8300000,0f7757377571d819,79b3b36d8ba65618 |
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 116 techniques to evade detection by security scanners and make reverse engineering more difficult.