Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED72D639B38423B6158382B7F7556FAAF779C54AC1278244F6B9C25E67E2D40CE423E0 |
|
CONTENT
ssdeep
|
384:uZ2oRT/r95PdGcHPQrUt4/e36OuVs2KcWPQ7+zcBbc:GGcy1a6OuVHOQ7+zcK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a4acbb2e868e8ea |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
496832b20c3e2a2b |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
0009614949210106,422c2f1f2b2a2b2b,0669713230b23008 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.