Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBB381D61628038CA14B996DEF2FFE05131FB4AAB95489801A4FC26CD2DF8D6F71752C |
|
CONTENT
ssdeep
|
768:aY7+L7E1rRf6hNv97krJ0RQ7H4Cp/9PyfR8MRERXQHK51qRX5pE/9PyfR8MRERX9:B260RQ7H4CpFsR8MLqc3EFsR8MLqcMWe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f9568c52bf02a0f |
|
VISUAL
aHash
|
ffffbfff3fff0000 |
|
VISUAL
dHash
|
4c707d0d71408051 |
|
VISUAL
wHash
|
fe1f0f071fff0000 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
68a0714d0d717000,0008111011150d01 |
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 148 techniques to evade detection by security scanners and make reverse engineering more difficult.