Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB235B726322B46843DB91EEEB3C2D46B2D1589DF8C74514F6C95A8D23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aS+EsZx8/G8t4mDawPM2Beow6M2BeRCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aS+EsZ/8mmDawPM2BTw6M2BDN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2b95d1d06b94d0 |
|
VISUAL
aHash
|
81818181ffffffff |
|
VISUAL
dHash
|
717171713b273339 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
717171713b273339,4fb3b36971b2ff71 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.