Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1B34311455B343722339F816BC5AB7D558B62D8A337CE07F6F44F2AABC4E94A84C21E |
|
CONTENT
ssdeep
|
768:E5OPZi4xfhMlQSXoow5ki+6jL0YZoHP45LOstA0S6:sOBi4xNSXoowWiMYZoHPeOcS6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd3c4b014ada25bd |
|
VISUAL
aHash
|
008387800303ff81 |
|
VISUAL
dHash
|
4336262526d20f2b |
|
VISUAL
wHash
|
0083bfbf8303ff81 |
|
VISUAL
colorHash
|
02000000007 |
|
VISUAL
cropResistant
|
7066c89e9795db4a,ae8eaea2b2ae8ea6,85255a54a4bc2b4b,6f1a2a9ab24d4d2b,010a36252527ca9a,2b2b2b3b4c544e4b |
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 1119 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)