Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142234A726732B4B843DB91EEF73C2E46B2C2588DE8C74554B5C95A8D23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:asQM+EsZx8/G8onRF4QADawYM7B4MwMM7B47w9r82+/9dtZkDieE565TmHEnkvdS:asQM+EsZ/8oROQADawYM7BLwMM7Bswhz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3640c3e136341f |
|
VISUAL
aHash
|
00ff0707bfff0fff |
|
VISUAL
dHash
|
cc303f4c7a8439b6 |
|
VISUAL
wHash
|
00fe07073f7f005f |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
cc303f4c7a8439b6 |
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)