last changes and fix + new benchmarks

This commit is contained in:
Domingo Dirutigliano
2025-02-18 23:03:46 +01:00
parent 5ef38df66a
commit 16f6b6a8fb
15 changed files with 499 additions and 6 deletions

View File

@@ -104,7 +104,7 @@ def gen_args(args_to_parse: list[str]|None = None):
parser_start.add_argument('--psw-on-web', required=False, help='Setup firegex password on the web interface', action="store_true", default=False)
parser_start.add_argument('--port', "-p", type=int, required=False, help='Port where open the web service of the firewall', default=4444)
parser_start.add_argument('--logs', required=False, action="store_true", help='Show firegex logs', default=False)
parser_start.add_argument('--version', '-v', required=False, type=str , help='Version of the firegex image to use', default="latest")
parser_start.add_argument('--version', '-v', required=False, type=str , help='Version of the firegex image to use', default=None)
#Stop Command
parser_stop = subcommands.add_parser('stop', help='Stop the firewall')

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@@ -79,14 +79,37 @@ You will find a new benchmark.csv file containg the results.
The test was performed on:
- Macbook Air M2 16GB RAM
- On a VM powered by OrbStack with Ubuntu 24.04.1 LTS aarch64
- 6.12.10-orbstack-00297-gf8f6e015b993
- On a VM powered by OrbStack with Fedora Linux 41 (Container Image) aarch64
- Linux 6.12.13-orbstack-00304-gede1cf3337c4
Command: `./benchmark.py -p testpassword -r 50 -d 1 -s 60`
Command: `./benchmark.py -p testpassword -r 50 -d 1 -s 50`
### NOTE: 8 threads performance do not change due to the fact that the source and destination ip is always the same, so the packets are sent to the same thread by the kernel.
NOTE: 8 threads performance before 2.5.0 do not change due to the fact that the source and destination ip is always the same, so the packets are sent to the same thread by the kernel.
[https://netfilter.vger.kernel.narkive.com/sTP7613Y/meaning-of-nfqueue-s-queue-balance-option](https://netfilter.vger.kernel.narkive.com/sTP7613Y/meaning-of-nfqueue-s-queue-balance-option)
Internally the kernel hashes the source and dest ip and choose the target thread based on the hash. If the source and dest ip are the same, the hash will be the same and the packets will be sent to the same thread.
This is a problem in a CTF, where we usually have a NAT to hide real IPs.
Firegex 2.5.0 changes the way the threads are assigned to the packets, this is done userland, so we can have a better distribution of the packets between the threads.
The charts are labeled as follows: `[version]-[n_thread]T` eg. `2.5.0-8T` means Firegex version 2.5.0 with 8 threads.
![Firegex Benchmark](results/Benchmark-chart.png)
From the benchmark above we can't see the real advantage of multithreading in 2.5.1, we can better see the advantage of multithreading in the chart below where a fake load in filtering is done.
The load is simulated by this code:
```cpp
volatile int x = 0;
for (int i=0; i<50000; i++){
x+=1;
}
```
![Firegex Benchmark](results/Benchmark-chart-with-load.png)
In the chart above we can see that the 2.5.1 version with 8 threads has a better performance than the 2.5.1 version with 1 threads, and we can see it as much as the load increases.
This particular advantage will be more noticeable with nfproxy module that is not implemented yet.

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@@ -85,8 +85,18 @@ server = Process(target=startServer)
server.start()
sleep(1)
custom_regex = [
'(?:[a-z0-9!#$%&\'*+/=?^_`{|}~-]+(?:\\.[a-z0-9!#$%&\'*+/=?^_`{|}~-]+)*|"(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21\\x23-\\x5b\\x5d-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])*")@(?:(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?|\\[(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?|[a-z0-9-]*[a-z0-9]:(?:[\\x01-\\x08\\x0b\\x0c\\x0e-\\x1f\\x21-\\x5a\\x53-\\x7f]|\\\\[\\x01-\\x09\\x0b\\x0c\\x0e-\\x7f])+)\\])'
]
def gen_regex():
"""
if len(custom_regex) == 0:
regex = secrets.token_hex(8)
else:
regex = custom_regex.pop()
"""
regex = secrets.token_hex(20)
return base64.b64encode(bytes(regex.encode())).decode()
#Get baseline reading

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@@ -0,0 +1,52 @@
;2.3.3-1T;2.3.3-8T;2.4.0-1T;2.4.0-8T;2.5.1-1T;2.5.1-8T;;With Load;2.5.1-1T;2.5.1-8T
0;4090,616;3789,988;4216,05;4203,31;3245,763;4007,679;;0;710,619;1790,382
1;2211,62;2069,487;4239,598;4283,392;3283,646;3963,986;;1;887,877;1933,881
2;1165,45;1484,554;2418,527;2383,415;3741,157;4222,243;;2;981,431;1941,564
3;849,39;956,972;2227,8;2419,701;3691,206;3640,707;;3;1081,412;1926,518
4;828,635;1052,873;2045,351;2038,823;3365,134;4388,553;;4;1038,514;1945,295
5;741,537;739,658;2066,161;2038;3691,457;3636,047;;5;1029,805;1734,462
6;632,721;534,722;2214,416;2160,869;3354,807;3644,611;;6;928,317;2009,994
7;624,772;638,524;2052,845;2192,641;3526,728;3547,39;;7;1130,938;2007,538
8;529,234;573,833;2195,199;2216,766;3252,62;3412,162;;8;1165,42;2004,825
9;469,688;531,658;2186,867;2762,56;3551,086;3632,367;;9;925,632;1848,551
10;336,33;476,167;2147,534;2160,398;3561,506;3536,655;;10;949,483;1836,558
11;427,783;443,746;2186,652;2147,886;3525,577;3820,019;;11;1021,973;1977,19
12;400,662;406,027;2178,036;2146,47;2776,064;3677,177;;12;903,878;1987,207
13;335,086;385,739;2182,151;2158,101;3541,86;3366,323;;13;1001,53;2007,422
14;342,042;341,563;2185,324;2154,025;3501,34;3353,031;;14;895,351;1994,914
15;307,283;318,699;1812,911;1997,694;3692,092;3392,423;;15;1026,722;1982,997
16;239,694;303,722;2144,689;2028,288;3637,166;3330,368;;16;634,727;1955,828
17;295,163;284,924;2163,525;2005,373;3617,031;3363,272;;17;744,758;1705,883
18;285,787;284,336;2073,89;2153,945;3700,092;4027,34;;18;978,59;1983,501
19;254,402;267,32;2071,682;2190,799;3176,831;3467,982;;19;962,375;1951,311
20;250,553;202,74;2153,502;2169,302;3368,038;3607,754;;20;997,471;1921,772
21;227,146;243,849;2144,04;2139,842;3716,577;3767,614;;21;929,785;1956,908
22;238,747;226,082;2118,517;2155,307;3452,917;3340,544;;22;1200,83;1948,865
23;234,718;214,348;2141,19;2152,223;3617,604;4086,612;;23;1257,741;1929,387
24;210,484;216,8;2167,103;2124,155;3651,796;3784,164;;24;772,729;1814,539
25;210,697;188,98;2168,631;2103,135;3552,053;3496,518;;25;683,913;2084,284
26;205,943;158,68;2165,555;2148,053;3843,18;3543,808;;26;1188,17;1830,901
27;202,568;166,556;2158,424;2163,366;3720,406;3453,934;;27;919,961;1946,713
28;194,341;148,287;2188,376;2122,339;3431,1;3546,188;;28;922,225;1958,238
29;189,916;149,681;2165,311;2064,701;3578,973;3458,804;;29;1066,286;1906,573
30;154,228;177,043;2168,158;2134,748;3561,994;3728,609;;30;979,399;1895,341
31;168,922;175,321;2108,045;1632,533;3524,566;3697,624;;31;978,917;1986,09
32;173,623;165,312;2121,414;2082,309;3567,537;3698,191;;32;988,415;1943,785
33;125,431;166,943;2022,533;1878,795;3626,767;3673,973;;33;1061,523;1879,917
34;162,154;159,026;1888,759;2009,28;3498,361;3690,046;;34;942,85;1946,029
35;149,865;156,759;2022,837;1987,424;3621,396;3663,799;;35;1045,949;1858,958
36;150,088;150,216;2015,042;1748,364;3297,839;3540,004;;36;883,941;2009,44
37;146,085;144,932;1920,401;1725,66;3541,207;3857,604;;37;958,41;1876,749
38;137,182;146,088;2005,037;1967,877;3560,364;3426,215;;38;989,523;1967,254
39;138,686;135,897;2028,856;1854,637;3589,746;3704,176;;39;1001,121;1968,595
40;136,302;136,99;2010,43;1903,963;3686,673;3796,133;;40;1080,079;1846,438
41;132,707;128,557;1522,342;1987,138;3463,811;3604,623;;41;1151,938;1955,897
42;100,928;100,307;1525,635;1532,547;3428,408;3650,508;;42;1221,644;1986,446
43;126,414;103,249;1912,05;1569,27;3753,139;3501,861;;43;991,855;1965,143
44;125,271;123,49;1920,256;1535,941;3368,89;3685,992;;44;1088,344;1963,016
45;117,839;120,39;1753,645;1941,715;3324,876;3623,404;;45;973,641;1890,88
46;89,494;118,055;1476,977;2014,504;3614,895;3728,601;;46;952,35;1998,801
47;116,939;115;1888,645;2005,794;3245,942;3844,994;;47;1089,644;1682,048
48;112,517;112,593;1949,103;2022,972;3257,925;3820,046;;48;939,615;2023,688
49;111,369;109,55;1684,633;1740,836;3200,585;3680,976;;49;1258,419;1982,952
50;108,568;109,512;1493,935;1726,444;3321,55;3797,432;;50;949,414;1993,641
1 2.3.3-1T 2.3.3-8T 2.4.0-1T 2.4.0-8T 2.5.1-1T 2.5.1-8T With Load 2.5.1-1T 2.5.1-8T
2 0 4090,616 3789,988 4216,05 4203,31 3245,763 4007,679 0 710,619 1790,382
3 1 2211,62 2069,487 4239,598 4283,392 3283,646 3963,986 1 887,877 1933,881
4 2 1165,45 1484,554 2418,527 2383,415 3741,157 4222,243 2 981,431 1941,564
5 3 849,39 956,972 2227,8 2419,701 3691,206 3640,707 3 1081,412 1926,518
6 4 828,635 1052,873 2045,351 2038,823 3365,134 4388,553 4 1038,514 1945,295
7 5 741,537 739,658 2066,161 2038 3691,457 3636,047 5 1029,805 1734,462
8 6 632,721 534,722 2214,416 2160,869 3354,807 3644,611 6 928,317 2009,994
9 7 624,772 638,524 2052,845 2192,641 3526,728 3547,39 7 1130,938 2007,538
10 8 529,234 573,833 2195,199 2216,766 3252,62 3412,162 8 1165,42 2004,825
11 9 469,688 531,658 2186,867 2762,56 3551,086 3632,367 9 925,632 1848,551
12 10 336,33 476,167 2147,534 2160,398 3561,506 3536,655 10 949,483 1836,558
13 11 427,783 443,746 2186,652 2147,886 3525,577 3820,019 11 1021,973 1977,19
14 12 400,662 406,027 2178,036 2146,47 2776,064 3677,177 12 903,878 1987,207
15 13 335,086 385,739 2182,151 2158,101 3541,86 3366,323 13 1001,53 2007,422
16 14 342,042 341,563 2185,324 2154,025 3501,34 3353,031 14 895,351 1994,914
17 15 307,283 318,699 1812,911 1997,694 3692,092 3392,423 15 1026,722 1982,997
18 16 239,694 303,722 2144,689 2028,288 3637,166 3330,368 16 634,727 1955,828
19 17 295,163 284,924 2163,525 2005,373 3617,031 3363,272 17 744,758 1705,883
20 18 285,787 284,336 2073,89 2153,945 3700,092 4027,34 18 978,59 1983,501
21 19 254,402 267,32 2071,682 2190,799 3176,831 3467,982 19 962,375 1951,311
22 20 250,553 202,74 2153,502 2169,302 3368,038 3607,754 20 997,471 1921,772
23 21 227,146 243,849 2144,04 2139,842 3716,577 3767,614 21 929,785 1956,908
24 22 238,747 226,082 2118,517 2155,307 3452,917 3340,544 22 1200,83 1948,865
25 23 234,718 214,348 2141,19 2152,223 3617,604 4086,612 23 1257,741 1929,387
26 24 210,484 216,8 2167,103 2124,155 3651,796 3784,164 24 772,729 1814,539
27 25 210,697 188,98 2168,631 2103,135 3552,053 3496,518 25 683,913 2084,284
28 26 205,943 158,68 2165,555 2148,053 3843,18 3543,808 26 1188,17 1830,901
29 27 202,568 166,556 2158,424 2163,366 3720,406 3453,934 27 919,961 1946,713
30 28 194,341 148,287 2188,376 2122,339 3431,1 3546,188 28 922,225 1958,238
31 29 189,916 149,681 2165,311 2064,701 3578,973 3458,804 29 1066,286 1906,573
32 30 154,228 177,043 2168,158 2134,748 3561,994 3728,609 30 979,399 1895,341
33 31 168,922 175,321 2108,045 1632,533 3524,566 3697,624 31 978,917 1986,09
34 32 173,623 165,312 2121,414 2082,309 3567,537 3698,191 32 988,415 1943,785
35 33 125,431 166,943 2022,533 1878,795 3626,767 3673,973 33 1061,523 1879,917
36 34 162,154 159,026 1888,759 2009,28 3498,361 3690,046 34 942,85 1946,029
37 35 149,865 156,759 2022,837 1987,424 3621,396 3663,799 35 1045,949 1858,958
38 36 150,088 150,216 2015,042 1748,364 3297,839 3540,004 36 883,941 2009,44
39 37 146,085 144,932 1920,401 1725,66 3541,207 3857,604 37 958,41 1876,749
40 38 137,182 146,088 2005,037 1967,877 3560,364 3426,215 38 989,523 1967,254
41 39 138,686 135,897 2028,856 1854,637 3589,746 3704,176 39 1001,121 1968,595
42 40 136,302 136,99 2010,43 1903,963 3686,673 3796,133 40 1080,079 1846,438
43 41 132,707 128,557 1522,342 1987,138 3463,811 3604,623 41 1151,938 1955,897
44 42 100,928 100,307 1525,635 1532,547 3428,408 3650,508 42 1221,644 1986,446
45 43 126,414 103,249 1912,05 1569,27 3753,139 3501,861 43 991,855 1965,143
46 44 125,271 123,49 1920,256 1535,941 3368,89 3685,992 44 1088,344 1963,016
47 45 117,839 120,39 1753,645 1941,715 3324,876 3623,404 45 973,641 1890,88
48 46 89,494 118,055 1476,977 2014,504 3614,895 3728,601 46 952,35 1998,801
49 47 116,939 115 1888,645 2005,794 3245,942 3844,994 47 1089,644 1682,048
50 48 112,517 112,593 1949,103 2022,972 3257,925 3820,046 48 939,615 2023,688
51 49 111,369 109,55 1684,633 1740,836 3200,585 3680,976 49 1258,419 1982,952
52 50 108,568 109,512 1493,935 1726,444 3321,55 3797,432 50 949,414 1993,641

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