Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176A3F6716651DE3B41D396D4AA32221EF6D54389CA030349FAF4C7A8AFDACECDD23512 |
|
CONTENT
ssdeep
|
1536:KCLW4mysIxu+CKCS+z7Xhg7LKTeeefeeeQeeeleeedkel7mjg0jCo:fLwycZRMkel7a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84e3797526a213d |
|
VISUAL
aHash
|
00ff5151ffffd3cb |
|
VISUAL
dHash
|
c832b3a3330e371a |
|
VISUAL
wHash
|
00bb0111ffffc383 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
e833b3a33a0b371a,0080528b8b522000,3103cf17972b3b8d,9b1b2d1636261e59,e6771b0f832c1f83 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.