Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19973A732D3161413906BC5C9F1625B4A73918789C6138BB567F827BAFECECB53722398 |
|
CONTENT
ssdeep
|
1536:TxnFC/NX+xPUgOq6yymH1+FWa5w72IFoe8KECxezuoSEaNHtzNMW7cRTPiAUeede:OOxPUgOq6YooFDxmqhk222I2222222zc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3263ecc3393ccc6 |
|
VISUAL
aHash
|
00007c6c68787c48 |
|
VISUAL
dHash
|
8b27d0d8daf2d0da |
|
VISUAL
wHash
|
0000fe6e78fafe4a |
|
VISUAL
colorHash
|
03000030000 |
|
VISUAL
cropResistant
|
8b27d0d8daf2d0da,00106800c0c46262,495924f031272b2b,888060804020818a,088060804020818a,4b433198d8d08c4d,888060804020818a,4f6b392b2b3323d8,088060804020818a,9593e31ce0f080e0,8880608040208588,656caca785842467 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.