Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145C183A581148C2B24A28EC6F6E97654AB99429DD6486DC873FCDB0CC9D8CE7F1433B4 |
|
CONTENT
ssdeep
|
96:jlR/Iv3PHgbUSV7gsHQM1UCac5nLuRLn1l1gS9SV7oNlS1BSV78YSLLCAYxK:EvgBV7PXUCnkRfsV7o61QV7+LLCAYxK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131319aceccccce |
|
VISUAL
aHash
|
c7c7c3f7ffffffff |
|
VISUAL
dHash
|
9e9e16060c000000 |
|
VISUAL
wHash
|
00000000e7ffffff |
|
VISUAL
colorHash
|
07006003000 |
|
VISUAL
cropResistant
|
9e9e16060c000000 |
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.
Pages with identical visual appearance (based on perceptual hash)