Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CA37B33411835274437C6D530A55B3BE2E6999FF9A70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:YcSLz4NP/y9svbliCd0CjfdFFtiuCa28y2O9:0mAMjfdG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c1245ef926db269 |
|
VISUAL
aHash
|
3e18068fcffff1fe |
|
VISUAL
dHash
|
f0f4bc3c1d2623a2 |
|
VISUAL
wHash
|
3c10048f87e3f1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
f0f4bc3c1d2623a2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.