Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D62B62FE28C12661F5189DA75B903DFE66F009C33514FDA3D58C06973B8A858E316E7 |
|
CONTENT
ssdeep
|
384:8HfBmOUysKStSb29RNBySOU8M1IPfsXbYolHE6p5m/wJTxk:YZmOUysKCSb29/8M1sCbLRE6+/wJTxk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
becbc13434c1363e |
|
VISUAL
aHash
|
ffdfbfff8383ff3f |
|
VISUAL
dHash
|
fb3767c72e2ee3f4 |
|
VISUAL
wHash
|
3b0313f383831f1f |
|
VISUAL
colorHash
|
07201000600 |
|
VISUAL
cropResistant
|
fb3767c72e2ee3f4,929dcc8f98adac54,292c54dce04c4c4d,edac9c8c9accd839,24a7ceae8c8c5a55 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.