Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B262B73262022A2F2143CDE5F5D1BBBDB26DC309C60B8D5DF2ED11A657CACD8D962394 |
|
CONTENT
ssdeep
|
384:vr/wnNGPlYBHIgf1+7jswpFhA9mu+BOC4Iw9:vr0NGcHIgf1+swpFhA9mu+8Fj9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8585e934b68bcdc5 |
|
VISUAL
aHash
|
ff387e0606000000 |
|
VISUAL
dHash
|
9ed0f07c0c04d184 |
|
VISUAL
wHash
|
ff7f7f3e06060040 |
|
VISUAL
colorHash
|
38000080007 |
|
VISUAL
cropResistant
|
ffffff6fe7a7ffff,525266afc9adcae8,9ed0f07c0c04d184 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.