Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148F28331A2519E3B40A7D2E9E3A5632B32D6938AC946034593FC43BD0FFBD84FD26594 |
|
CONTENT
ssdeep
|
768:3guEB7uYZMguNarxdSpiZI0ktTK9VgRHAuOlv21J8ok2cCbOVmhYs:28iZI0WT4ok7c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3ac56ad42a51aa |
|
VISUAL
aHash
|
f99f8f8d85c1f1fe |
|
VISUAL
dHash
|
2b3d393929030324 |
|
VISUAL
wHash
|
bd8f0f0d8581c0fe |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
2b3d393929030324 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.