之前写的全全连接的GAN生成的图效果挺好的,d和g的参数量分别是159201和179784,属实不理解DCGAN为什么有了卷积的感受野还这么拉(速度,参数量,平衡难度),还得考虑棋盘效应 :fearful: 

标识符

483DAB9E-B587-4DAE-936C-201F5BC4BCBA

备注

Error Domain=kCFStreamErrorDomainSSL Code=-9806"(null)" UserInfo=/NSLocalizedRecoverySuggestion=Errorcode definition can be found in Apple's SecureTransport.h}

请求信息

CONNECT m.m******(手动打码).pt:443 HTTP/1.1

请求头部

Host: m.m*******.ptConnection: keep-alive

发送请求头部

未发送

服务端开始响应

未响应

请求完成2024/04/26 10:11:40.529

 app无法登录，抓包数据。网页版可以登录，求分析求解

前些天一直在找便宜的云服务器，偶然间发现一免费的云平台，这里推荐给大家。

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说一下感受

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2、使用了一天，上了项目，网速不慢。

3、唯一要指出来就是磁盘太小。

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拉取了rustbuster的v3.0.3版本文件, 二进制文件无法使用, 执行结果如下:

```bash
[root_cn@archlinux target]$ ./rustbuster-v3.0.3-x86_64-unknown-linux-gnu
./rustbuster-v3.0.3-x86_64-unknown-linux-gnu: error while loading shared libraries: libssl.so.1.1: cannot open shared object file: No such file or directory
```

拉取了main源码, 想自行尝试编译, 然后卡在了openssl, 以下为报错信息:

```rust
The following warnings were emitted during compilation:

warning: openssl-sys@0.9.47: build/expando.c:4:24: error: pasting "RUST_VERSION_OPENSSL_" and "(" does not give a valid preprocessing token
warning: openssl-sys@0.9.47:     4 | #define VERSION2(n, v) RUST_VERSION_##n##_##v
warning: openssl-sys@0.9.47:       |                        ^~~~~~~~~~~~~
warning: openssl-sys@0.9.47: build/expando.c:5:23: note: in expansion of macro ‘VERSION2’
warning: openssl-sys@0.9.47:     5 | #define VERSION(n, v) VERSION2(n, v)
warning: openssl-sys@0.9.47:       |                       ^~~~~~~~
warning: openssl-sys@0.9.47: build/expando.c:10:1: note: in expansion of macro ‘VERSION’
warning: openssl-sys@0.9.47:    10 | VERSION(OPENSSL, OPENSSL_VERSION_NUMBER)
warning: openssl-sys@0.9.47:       | ^~~~~~~

error: failed to run custom build command for `openssl-sys v0.9.47`

Caused by:
  process didn't exit successfully: `/mnt/d/work/file/rust/rustbuster/target/debug/build/openssl-sys-c5a482a9e0e49574/build-script-main` (exit status: 101)
  --- stdout
  cargo:rustc-cfg=const_fn
  cargo:rerun-if-env-changed=X86_64_UNKNOWN_LINUX_GNU_OPENSSL_LIB_DIR
  X86_64_UNKNOWN_LINUX_GNU_OPENSSL_LIB_DIR unset
  cargo:rerun-if-env-changed=OPENSSL_LIB_DIR
  OPENSSL_LIB_DIR unset
  cargo:rerun-if-env-changed=X86_64_UNKNOWN_LINUX_GNU_OPENSSL_INCLUDE_DIR
  X86_64_UNKNOWN_LINUX_GNU_OPENSSL_INCLUDE_DIR unset
  cargo:rerun-if-env-changed=OPENSSL_INCLUDE_DIR
  OPENSSL_INCLUDE_DIR unset
  cargo:rerun-if-env-changed=X86_64_UNKNOWN_LINUX_GNU_OPENSSL_DIR
  X86_64_UNKNOWN_LINUX_GNU_OPENSSL_DIR unset
  cargo:rerun-if-env-changed=OPENSSL_DIR
  OPENSSL_DIR unset
  cargo:rustc-link-lib=ssl
  cargo:rustc-link-lib=crypto
  OPT_LEVEL = Some("0")
  TARGET = Some("x86_64-unknown-linux-gnu")
  HOST = Some("x86_64-unknown-linux-gnu")
  CC_x86_64-unknown-linux-gnu = None
  CC_x86_64_unknown_linux_gnu = None
  HOST_CC = None
  CC = None
  CFLAGS_x86_64-unknown-linux-gnu = None
  CFLAGS_x86_64_unknown_linux_gnu = None
  HOST_CFLAGS = None
  CFLAGS = None
  CRATE_CC_NO_DEFAULTS = None
  DEBUG = Some("true")
  CARGO_CFG_TARGET_FEATURE = Some("fxsr,sse,sse2")
  running: "cc" "-O0" "-ffunction-sections" "-fdata-sections" "-fPIC" "-g" "-fno-omit-frame-pointer" "-m64" "-Wall" "-Wextra" "-E" "build/expando.c"
  cargo:warning=build/expando.c:4:24: error: pasting "RUST_VERSION_OPENSSL_" and "(" does not give a valid preprocessing token
  cargo:warning=    4 | #define VERSION2(n, v) RUST_VERSION_##n##_##v
  cargo:warning=      |                        ^~~~~~~~~~~~~
  cargo:warning=build/expando.c:5:23: note: in expansion of macro ‘VERSION2’
  cargo:warning=    5 | #define VERSION(n, v) VERSION2(n, v)
  cargo:warning=      |                       ^~~~~~~~
  cargo:warning=build/expando.c:10:1: note: in expansion of macro ‘VERSION’
  cargo:warning=   10 | VERSION(OPENSSL, OPENSSL_VERSION_NUMBER)
  cargo:warning=      | ^~~~~~~
  exit status: 1

  --- stderr
  thread 'main' panicked at /home/root_cn/.cargo/registry/src/mirrors.sjtug.sjtu.edu.cn-4f7dbcce21e258a2/openssl-sys-0.9.47/build/main.rs:126:13:

  Header expansion error:
  Error { kind: ToolExecError, message: "Command \"cc\" \"-O0\" \"-ffunction-sections\" \"-fdata-sections\" \"-fPIC\" \"-g\" \"-fno-omit-frame-pointer\" \"-m64\" \"-Wall\" \"-Wextra\" \"-E\" \"build/expando.c\" with args \"cc\" did not execute successfully (status code exit status: 1)." }

  Failed to find OpenSSL development headers.

  You can try fixing this setting the `OPENSSL_DIR` environment variable
  pointing to your OpenSSL installation or installing OpenSSL headers package
  specific to your distribution:

      # On Ubuntu
      sudo apt-get install libssl-dev
      # On Arch Linux
      sudo pacman -S openssl
      # On Fedora
      sudo dnf install openssl-devel

  See rust-openssl README for more information:

      https://github.com/sfackler/rust-openssl#linux

  note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
warning: build failed, waiting for other jobs to finish...
```

经过检查openssl与rust均为最新版本, 

```bash
[root_cn@archlinux target]$ sudo pacman -S rust
[sudo] password for root_cn:
warning: rust-1:1.77.2-1 is up to date -- reinstalling
resolving dependencies...
looking for conflicting packages...

Package (1)  Old Version  New Version  Net Change

extra/rust   1:1.77.2-1   1:1.77.2-1     0.00 MiB

Total Installed Size:  249.41 MiB
Net Upgrade Size:        0.00 MiB

:: Proceed with installation? [Y/n] n
[root_cn@archlinux target]$ sudo pacman -S openssl
warning: openssl-3.2.1-1 is up to date -- reinstalling
resolving dependencies...
looking for conflicting packages...

Package (1)   Old Version  New Version  Net Change

core/openssl  3.2.1-1      3.2.1-1        0.00 MiB

Total Installed Size:  11.45 MiB
Net Upgrade Size:       0.00 MiB

:: Proceed with installation? [Y/n] n
```

在网上找了一下, 查到资料, 在[rust-openssl的issues](https://github.com/sfackler/rust-openssl/issues/1227)中提到类似报错, 得到解释如下:

> If you are cross compiling to MUSL, you either need to point openssl-sys to the location that you have a copy of OpenSSL cross compiled to MUSL, or tell it to build a copy of OpenSSL itself with the vendored feature.
>
>	如果你是交叉编译到MUSL，你需要将openssl-sys指向你有一个交叉编译到MUSL的OpenSSL副本的位置，或者告诉它用vendored特性构建一个OpenSSL本身的副本。

由于不会rust, 依靠关键词"交叉编译"+"cargo"搜索到了[cargo交叉编译rust程序](https://blog.csdn.net/tyc880616/article/details/104371502), 顺着找到文件:

```
[root_cn@archlinux .cargo]$ cat ~/.cargo/config
[source.crates-io]
replace-with = 'sjtu' # 指定使用下面哪个源，修改为source.后面的内容即可

# 中国科学技术大学
[source.ustc]
registry = "https://mirrors.ustc.edu.cn/crates.io-index"

# 上海交通大学
[source.sjtu]
registry = "https://mirrors.sjtug.sjtu.edu.cn/git/crates.io-index/"

# 清华大学
[source.tuna]
registry = "https://mirrors.tuna.tsinghua.edu.cn/git/crates.io-index.git"

# rustcc社区
[source.rustcc]
registry = "https://code.aliyun.com/rustcc/crates.io-index.git"
```

没有找到交叉编译的设置, 由于本人不会rust, 线索断了, 尝试向大家寻求一波帮助, 非常感谢阅读.



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![](https://image.hackertalk.net/images/62537abc-405f-44da-a67e-9f18082f3d74)















sqlmap -u "xxxxx.com/#/login" --all  --delay 1 --batch --random-agent

[CRITICAL]can't establish SSL connection.

![](https://image.hackertalk.net/images/4a856cac-750c-4972-aa1f-4bf02f000394)

sqlmap -r win.txt --dbs

**

[CRITICAL] anti-CSRF token 'XSRF-TOKEN' can't be found 


**




求助can't establish SSL connection.

就想弄个生成数字,不知道为什么就一直训练不出来(急急急

**生成的图(2个epoch)(多次尝试的其中一个,其他的更离谱,这个至少模式坍塌的不那么彻底)**

![](https://content.hackertalk.net/pub/Vrq0Mw-eaWz107)

loss图(也是2epoch

**loss: D**

![](https://content.hackertalk.net/pub/77QvVy-N651Kdr)

**loss: G**

![](https://content.hackertalk.net/pub/J7dyBP-7VBz4M5)

我寻思这loss差不多都ln2简直完美(用的BCELoss

而且训练时间(5min+/epoch)(cpu)也比全连接GAN长(悲

**生成器**

```python
def __init__(self):
    super(G, self).__init__()
    self.linear = nn.Sequential(
        nn.Linear(110, 3 * 11 * 11),
        nn.LeakyReLU()
    )
    self.conv = nn.Sequential(
        nn.ConvTranspose2d(3, 64, 4),
        nn.BatchNorm2d(64),
        nn.LeakyReLU(),
        nn.ConvTranspose2d(64, 1, 2, 2),
        nn.Tanh()
    )

def forward(self, inputs, label_tensors):
    return self.conv(self.linear(torch.cat((inputs, label_tensors), 1)).view(-1, 3, 11, 11))
```

**判别器**

```python
def __init__(self):
    super(D, self).__init__()
    self.conv = nn.Sequential(
        nn.Conv2d(1, 10, 3),
        nn.LeakyReLU(),
        nn.MaxPool2d(2),
        nn.Conv2d(10, 20, 4),
        nn.LeakyReLU(),
        nn.MaxPool2d(2),
    )
    self.linear = nn.Sequential(
        nn.Linear(500 + 10, 100),
        nn.LeakyReLU(),
        nn.BatchNorm1d(100),
        nn.Linear(100, 1),
        nn.Sigmoid()
    )

def forward(self, inputs, label_tensors):
    inputs = torch.cat((self.conv(inputs).view(-1, 500), label_tensors), 1)
    return self.linear(inputs)
```

**优化器(一样)**

```python
self.optimiser = torch.optim.Adam(self.parameters(), lr=0.0001)
```

真蚌埠住了,看网上的都是1000多个通道的卷积层,电脑是在8是很行,就是说想找那种判别器生成器参数都不是很多(最好别超50w)

还有就是想知道为什么明明loss完美但是生成的图却这么......一言难尽

谢谢