Thegrideon Software. One less reason to worry.

Zip Password Recovery

Zip Password by is a feature-rich password recovery tool for ZIP, PKZip and WinZip (*.zip, *.zipx) archives with a very flexible search range setup. It works with legacy and still common Zip 2.0 as well as with modern AES encryption methods. Password recovery basics are covered in Password Search FAQ.

Zip Password Recovery Features:

Program Screenshots:

Password recovery attacks Zip Password recovery progress

Password recovery speed:

zip 2.0 (legacy and still very common):
There are two steps in a password search: password generation and password verification. Zip Password is designed for precise and flexible search range setup with mixed attacks, etc. And for Zip 2.0 password generation capability is usually a speed limiting factor, therefore password verification is CPU based only. Password recovery speed is also affected by several factors, such as number and size of files, compression method used, etc.

CPU:
 
Speed:
Intel® Core™2 Duo
T7500 @ 2.20GHz
Intel® Core™ i3
2100 @ 3.10GHz
Intel® Core™ i3
4130 @ 3.40GHz
> 20 000 000 p/s > 40 000 000 p/s > 50 000 000 p/s

AES-128, 192 and 256 bit encryption:
The protection methods are based on PBKDF2 and AES algorithms, thus recovery speed is limited, but we did our best to enhance this tool performance as well as recovery speed with some advanced methods. The final password recovery speed is equal to CPUspeed + GPU(1)speed + ... + GPU(N)speed.
For example .zipx (AES-128) password recovery speed on Intel i3 + AMD Radeon R9 270 = 51 000 + 650 000 = ~700 000 p/s (passwords per second).

CPU:
 
Instructions:
Speed:
Intel® Core™2 Duo
T7500 @ 2.20GHz
Intel® Core™ i3
2100 @ 3.10GHz
Intel® Core™ i3
4130 @ 3.40GHz
Amazon EC2 "c5.large"
Xeon® Platinum core
SSE2 AVX AVX2 AVX512
~11 000 p/s ~24 000 p/s ~50 000 p/s ~63 000 p/s

AMD and Nvidia GPUs
Compute units or stream multiprocessors (CU, SM, SMX, SMM) are the main building blocks of GPU calculation power, thus 32xCU GPU card is usually twice as fast as 16xCU GPU card of the same family and architecture running at the same frequency.
You can expect approximately 50k-80k p/s performance per every Nvidia SM running at 1GHz and approximately 30k-40k p/s per every AMD CU.

GeForce GT 640
2xSM, 1050 MHz
Tesla K80
13xSMX, 820 MHz
Tesla V100
80xSM, 1250 Mhz
+ 135 000 p/s + 750 000 p/s + 5 000 000 p/s
135000/2/1.05=65000 750000/13/0.82=70000 5000000/80/1.25=50000
HD 6770
10xCU, 850 Mhz
R9 270
20xCU, 950 MHz
RX 480
36xCU, 1260 MHz
+ 350 000 p/s + 650 000 p/s + 1 600 000 p/s
350000/10/0.85=41000 650000/20/0.95=34000 1600000/36/1.26=35000

It is important to mention that AMD and NVIDIA architectures are quite different and although AMD per CU performance is lower, there are more CUs per card in a similar price range. Moreover GPU performance is somewhat variable with number of factors including GPU/CPU combination and even a driver version. Please contact us if your recovery speed is noticeable different from the data above.

Trial Version Limitations:

Trial version can be used to check format and hardware compatibility. It allows you to setup and test run any password search for up to 15 min per set. Recovered passwords are hidden behind the asterisks.

© 2003-2022 | Privacy | Terms of use.
All trademarks are the property of their respective holders.