Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C1332E1088D713F41A63586AAADF659B3E34248CF161A4063F8B35DCBCBF41EDB151A |
|
CONTENT
ssdeep
|
384:SdjI3+je590kxIBwxL6ye8LFn34lUiADQmUM0EDxt3F0r9lRV8d/AaB9pYft:SdjIxV4lULrIm/JAF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c1393123267af |
|
VISUAL
aHash
|
00d1d1d1ffffffff |
|
VISUAL
dHash
|
f22727a7380e0f2a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06001008180 |
|
VISUAL
cropResistant
|
0000203232324060,272727b50c0e0f3a,6089d0f48920484c,2515cd5505571761 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.