Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173B267277188853E4F8B40FDEA9DB36AA58D9149F331C48269F6827FDA01D9D383079D |
|
CONTENT
ssdeep
|
384:yT/dqoGCGjRzeWualKuEOBSFB4FjwyhMXx7o5wxgmf+cSL/JpCXEVOHxVOj0Zb20:67GjRzeWuaIuEOBSFB4dwyhMXKCxgmfJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9252eded3c529392 |
|
VISUAL
aHash
|
000004040effffff |
|
VISUAL
dHash
|
308888888c64d8f8 |
|
VISUAL
wHash
|
00000404cfffffff |
|
VISUAL
colorHash
|
1e000438000 |
|
VISUAL
cropResistant
|
aa32a22ab2b2b2cc,adbdd398c0d8f860,88408c8888a88898 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.