Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155234A726372B8B843DB92DEF7382E42B2D2948DF8C74554B5C95A8E23C3C9161937B4 |
|
CONTENT
ssdeep
|
768:aL+EsZx8/G8g1RF4kDaw+MLB7ownMLB7kwZUcix+y9dQpUDF1E56ITmHDLBABW8n:aL+EsZ/8gXOkDaw+MLBUwnMLBowZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f3f7063e03cc063 |
|
VISUAL
aHash
|
8181bd9dbdbd81ff |
|
VISUAL
dHash
|
557169716969714f |
|
VISUAL
wHash
|
81819d99999d81ff |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
557169716969714f,a6a6b2b2a033bae0,b2796969696969a7 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.