Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T158821F71414AA127233749C8EC725B1D60E39B2DCD231C869ABC97CFBFD1DA1AD1648A |
|
CONTENT
ssdeep
|
384:CmrgbpXFmMv0qi0YzruF85nGglhYX7tl1s7f:7stXFkXhYX7tla7f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c39c3c63c39c9639 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
065271694949418b |
|
VISUAL
wHash
|
00f03dfcbc3d4141 |
|
VISUAL
colorHash
|
06600010000 |
|
VISUAL
cropResistant
|
74032a2a2c0e1815,065271694949418b,c8c4e78894d65cb6 |
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 1576 techniques to evade detection by security scanners and make reverse engineering more difficult.