Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6333D7094852A3B8293E9C5E772672BA3D5C245CF630A0193F8935E5FEBDA0EC67305 |
|
CONTENT
ssdeep
|
768:dGb8KeTrS3e85g+tB+L6weeeIeeeAeee6eeeDmnF:Qte85g+seeeIeeeAeee6eeeDmnF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9fa96a43b2a6c29 |
|
VISUAL
aHash
|
fffd888999913f3f |
|
VISUAL
dHash
|
59c1333333336268 |
|
VISUAL
wHash
|
fdfc888989111b3e |
|
VISUAL
colorHash
|
076000000c0 |
|
VISUAL
cropResistant
|
59c1333333336268,3f3533191a1b1f15,d4ebabc3b2f2c5ae,c7d79539b694ad2c,2d269f7f6d23bf36 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.