Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDC2B530A0006A3B018393C45B71675FB3D6C28ADB534E4967F8875EDFCBD96CC29AA5 |
|
CONTENT
ssdeep
|
384:tUiVtiVgzr4SSRTrG46Gj5KIcDuscDM1KqVEATlQft:tNy+Q/H6GZH+K0PWF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ba4e09dc2d8cb55 |
|
VISUAL
aHash
|
ff070c0c1c0808fc |
|
VISUAL
dHash
|
9f9e7838787b3021 |
|
VISUAL
wHash
|
ff4f0c8c1c8c08fd |
|
VISUAL
colorHash
|
06403000000 |
|
VISUAL
cropResistant
|
9f9e7838787b3021,e1c9f1d3c7d6d8c8,c9070b153f3797ab,81800126a4272363,222323110c070703,6333c18d844c49c7,931001098d840f2d |
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.