Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E912C932B444BE3B128353E173A6B71A72DAD349DF236A05D7F0C7645BEAE528E03215 |
|
CONTENT
ssdeep
|
96:cUoyoOMiRG7PoCH/eSZSZSoci0IRG00O0haUb1KXV9K22C2O0SjELO0ziIuTJnUI:ZNwiRDCDIIiAPbCguhaM4htsKY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998c5b3633669966 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b7b2b2b2 |
|
VISUAL
wHash
|
18181b1b1bdbdb59 |
|
VISUAL
colorHash
|
010100000c0 |
|
VISUAL
cropResistant
|
b3b2ac333165d427,8080210101014101,b2b2b2b2b7b2b2b2 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.