Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1947285336180313E1EB301816F622359B3F78185A61D6978CAFDA25F0BC6E8EFD76645 |
|
CONTENT
ssdeep
|
384:DW09IIAffm3YcZPhDoNImmu1IsVM6Z427DE:D5IIjPegLu4z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8747efd01038fad1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
c6c3c7e7d8380b2f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
59594c5e35352725,1213535745b69e9e,dc4caa9b0a59a7a7,f00f382c4a0b2744,c4e7c3c3c7e7cfd8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.