Invalid signature `BADSIG F60F4B3D7FA2AF80` on Ubuntu 16.04 #613

pwyq · 2018-01-20T00:42:34Z

My issue is very similar to #571; opening an new issue as the stuff suggested reply.
I am using nvidia/cuda:9.0-devel.

P.S: I am located in Toronto, Canada if that's the cause of the problem (as @flx42 mentioned might be a CDN issue).

Issue description

When I ran sudo apt-get update, I got following feedback from console.

W: GPG error: http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Release: The following signatures were invalid: BADSIG F60F4B3D7FA2AF80 cudatools <cudatools@nvidia.com>
W: The repository 'http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64  Release' is not signed.
N: Data from such a repository can't be authenticated and is therefore potentially dangerous to use.
N: See apt-secure(8) manpage for repository creation and user configuration details.

I have tried deleting & re-adding the key via different methods, while the issue still exists.

But when I ran docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi, the docker seems okay. I got:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 387.34                 Driver Version: 387.34                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 745     Off  | 00000000:01:00.0 Off |                  N/A |
| 20%   47C    P0    N/A /  N/A |    449MiB /  4042MiB |     25%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+

So right now I am not sure whether that BADSIG F60F4B3D7FA2AF80 key will be a potential bomb, or I can just ignore that one.

Any helps appreciated, thanks in advance.

The text was updated successfully, but these errors were encountered:

flx42 · 2018-01-20T01:02:49Z

Does it work if the repo is set as https?
Try the following inside the container:

$ apt-get update && apt-get install -y apt-transport-https
$ echo 'deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /' > /etc/apt/sources.list.d/cuda.list
$ apt-get update

pwyq · 2018-01-20T01:10:59Z

Hi, the error messages are still the same.

flx42 · 2018-01-20T02:00:02Z

Thanks @pwyq, inside the container, please share the output of:

$ wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/Release

This will tell me which server you are hitting.

pwyq · 2018-01-20T02:23:23Z

Hi, thanks for your patience :). I can't provide anything right now as I'm off work. Will get back to you on next Monday.

pwyq · 2018-01-22T14:12:27Z

Hi, @flx42, the problem was solved (I didn't change anything). I'm almost certain this is a CDN issue.

By the way, may I ask how can you tell which server I'm hitting from following info?

$ wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/Release
--2018-01-22 09:04:51--  http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/Release
Resolving localhost (localhost)... 127.0.0.1
Connecting to localhost (localhost)|127.0.0.1|:8080... connected.
Proxy request sent, awaiting response... 200 OK
Length: 564 [application/octet-stream]
Saving to: ‘Release’

Release             100%[===================>]     564  --.-KB/s    in 0s      

2018-01-22 09:04:51 (36.2 MB/s) - ‘Release’ saved [564/564]

flx42 · 2018-01-22T19:16:10Z

Well, here you can't since you have a proxy.

3XX0 · 2018-01-23T21:54:31Z

@pwyq what's the output of apt-key export 7FA2AF80 in the container after you just pulled it?

After the apt-get update can you try the following command:

apt-key adv --verify /var/lib/apt/lists/developer.download.nvidia.com_compute_cuda_repos_ubuntu1604_x86%5f64_Release.gpg /var/lib/apt/lists/developer.download.nvidia.com_compute_cuda_repos_ubuntu1604_x86%5f64_Release```

pwyq · 2018-01-23T22:32:54Z

@3XX0

$ apt-key export 7FA2AF80
-----BEGIN PGP PUBLIC KEY BLOCK-----
Version: GnuPG v1
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=0nKc
-----END PGP PUBLIC KEY BLOCK-----

$ apt-key adv --verify /var/lib/apt/lists/developer.download.nvidia.com_compute_cuda_repos_ubuntu1604_x86%5f64_Release.gpg /var/lib/apt/lists/developer.download.nvidia.com_compute_cuda_repos_ubuntu1604_x86%5f64_Release
Executing: /tmp/tmp.xHiQFOmQoB/gpg.1.sh --verify
/var/lib/apt/lists/developer.download.nvidia.com_compute_cuda_repos_ubuntu1604_x86%5f64_Release.gpg
/var/lib/apt/lists/developer.download.nvidia.com_compute_cuda_repos_ubuntu1604_x86%5f64_Release
gpg: Signature made Thu 18 Jan 2018 04:02:34 PM EST using RSA key ID 7FA2AF80
gpg: Good signature from "cudatools <cudatools@nvidia.com>"
gpg: WARNING: Using untrusted key!

linrio · 2018-06-19T09:30:11Z

@flx42 @3XX0 I meet the same problem:

W: GPG error: https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Release: The following signatures were invalid: BADSIG F60F4B3D7
FA2AF80 cudatools <cudatools@nvidia.com>W: The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64  Release' is not signed.
E: Failed to fetch https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/Packages.gz  Hash Sum mismatch
E: Some index files failed to download. They have been ignored, or old ones used instead.

The result of wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/Release is:

# wget https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/Release
--2018-06-19 09:12:50--  https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/Release
Resolving developer.download.nvidia.com (developer.download.nvidia.com)... 119.188.74.163, 119.188.74.162, 119.188.74.165, ...
Connecting to developer.download.nvidia.com (developer.download.nvidia.com)|119.188.74.163|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 564 [application/octet-stream]
Saving to: 'Release'

Release                                   100%[===================================================================================>]     564  --.-KB/s    in 0s      

2018-06-19 09:12:52 (49.4 MB/s) - 'Release' saved [564/564]

The #cat Release :

Origin: NVIDIA
Label: NVIDIA CUDA
Architecture: x86_64
Date: Thu, 31 May 2018 02:05:48 +0000
MD5Sum:
 3fd9c7abb50441a77645a822c31632d0            92849 Packages
 930afb4079e9ccb03a6bc85be672abfd            24553 Packages.gz
SHA1:
 91cae9157974056be9fb011a0994a4ffb90fe834            92849 Packages
 5eb1185b7a97e9d262b6d1ffd0cb448424f9f867            24553 Packages.gz
SHA256:
 980a1ddfac37f27ff160228894c121c531d95077711495fd5a6dffff1f42400f            92849 Packages
 e54c31c63724ad023ded77dbf7a3b95e1cc3fc7dfa92198f02f6b08570762b19            24553 Packages.gz

The apt-key export 7FA2AF80 is :

The

apt-key adv --verify ./Release.gpg /var/lib/apt/lists/developer.download.nvidia.com_compute_machine-learning_repos_ubuntu1604_x86%5f64_Re
lease

is:

Executing: /tmp/tmp.mePybtekKm/gpg.1.sh --verify
./Release.gpg
/var/lib/apt/lists/developer.download.nvidia.com_compute_machine-learning_repos_ubuntu1604_x86%5f64_Release
gpg: Signature made Thu May 31 02:05:48 2018 UTC using RSA key ID 7FA2AF80
gpg: Good signature from "cudatools <cudatools@nvidia.com>"
gpg: WARNING: Using untrusted key!

The $docker run --rm -ti nvidia/cuda:9.1-devel apt-key list is:

Unable to find image 'nvidia/cuda:9.1-devel' locally
9.1-devel: Pulling from nvidia/cuda
b234f539f7a1: Pull complete 
55172d420b43: Pull complete 
5ba5bbeb6b91: Pull complete 
43ae2841ad7a: Pull complete 
f6c9c6de4190: Pull complete 
d8c68dd3efd7: Pull complete 
2a5a3d157169: Pull complete 
b5245bae531f: Pull complete 
4616f5613d58: Pull complete 
316e6a697dea: Pull complete 
Digest: sha256:32ed0cff1f856b66e244711af23601aa628de2e9de3b37748512299bf974cad6
Status: Downloaded newer image for nvidia/cuda:9.1-devel
/etc/apt/trusted.gpg
--------------------
pub   1024D/437D05B5 2004-09-12
uid                  Ubuntu Archive Automatic Signing Key <ftpmaster@ubuntu.com>
sub   2048g/79164387 2004-09-12

pub   4096R/C0B21F32 2012-05-11
uid                  Ubuntu Archive Automatic Signing Key (2012) <ftpmaster@ubuntu.com>

pub   4096R/EFE21092 2012-05-11
uid                  Ubuntu CD Image Automatic Signing Key (2012) <cdimage@ubuntu.com>

pub   1024D/FBB75451 2004-12-30
uid                  Ubuntu CD Image Automatic Signing Key <cdimage@ubuntu.com>

pub   4096R/7FA2AF80 2016-06-24
uid                  cudatools <cudatools@nvidia.com>

flx42 · 2018-06-19T17:55:34Z

I've asked for a CDN flush. Thanks for the report.

QthePirate · 2018-07-13T03:33:32Z

This is happening to our cloud as we speak. same exact errors on a bare metal server.

flx42 · 2018-07-13T04:10:38Z

@QthePirate please share the logs and the output of the commands listed in #613 (comment)

QthePirate · 2018-07-13T04:26:37Z

@flx42 I just solved this with the apt-transport-https fix.

linrio · 2018-11-07T03:24:37Z

I changed the download source. It's OK!

backup the source.list:
sudo cp /etc/apt/sources.list /etc/apt/sources.list.backup
modified the source.list and added mainland source(for example in Chinese Mainland):
vi /etc/apt/sources.list

3 Note the source in the metafile and add the following address:

#Ali Cloud
deb http://mirrors.aliyun.com/ubuntu/ trusty main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ trusty-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ trusty-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ trusty-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ trusty-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ trusty main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ trusty-backports main restricted universe multiverse

update source
sudo apt-get update

5 upgrade software:

sudo apt-get dist-upgrade
sudo apt-get -f install

ChinoMars · 2018-12-06T06:16:23Z

@linrio you sure? trusty is for ubuntu 14

zionwu · 2018-12-24T12:25:48Z

@flx42
I am still hitting this issue:

W: GPG error: https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 Release: The following signatures were invalid: BADSIG F60F4B3D7FA2AF80 cudatools cudatools@nvidia.com
W: The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 Release' is not signed.
E: Failed to fetch https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64/Packages.gz Hash Sum mismatch
E: Some index files failed to download. They have been ignored, or old ones used instead.

Any solution?

lavender37 · 2020-10-05T11:28:34Z

i'm in mainland and i solved the problem with adding <ip of developer.download.nvidia.com> developer.download.nvidia.cn to the host, so you can also change your dns setting or set the proxy to do the same

vitahlin · 2020-10-13T02:19:29Z

@lavender37 您好，请问一下您的这个是怎么具体解决的，感谢

lavender37 · 2020-10-17T04:05:07Z

@lavender37 您好，请问一下您的这个是怎么具体解决的，感谢

我的问题是在创建docker时在apt update过程中出现了Invalid signature BADSIG F60F4B3D7FA2AF80
但是遗憾的是现在我已经完全无法连接developer.download.nvidia.com除非使用proxy
简单来说我当时使用gpg verify了developer.download.nvidia.com和developer.download.nvidia.cn的下载内容
然后说明我的个人见解，当使用docker国内连接到developer.download.nvidia.com时似乎会自动转到developer.download.nvidia.cn，而验证gpg时时，developer.download.nvidia.com的内容是能验证通过而developer.download.nvidia.cn的不能（原因未知）
所以考虑到这种差异，我在host文件中将developer.download.nvidia.cn解析到developer.download.nvidia.com对应的ip地址（原理等同于proxy），最终验证通过

vitahlin · 2020-10-22T09:35:42Z

@lavender37 您好，请问一下您的这个是怎么具体解决的，感谢

我的问题是在创建docker时在apt update过程中出现了Invalid signature BADSIG F60F4B3D7FA2AF80
但是遗憾的是现在我已经完全无法连接developer.download.nvidia.com除非使用proxy
简单来说我当时使用gpg verify了developer.download.nvidia.com和developer.download.nvidia.cn的下载内容
然后说明我的个人见解，当使用docker国内连接到developer.download.nvidia.com时似乎会自动转到developer.download.nvidia.cn，而验证gpg时时，developer.download.nvidia.com的内容是能验证通过而developer.download.nvidia.cn的不能（原因未知）
所以考虑到这种差异，我在host文件中将developer.download.nvidia.cn解析到developer.download.nvidia.com对应的ip地址（原理等同于proxy），最终验证通过

问题解决了，感谢🙏

ynyyn · 2021-01-31T10:34:25Z

英伟达仓库的 CDN 缓存背锅。签名 Release.gpg 缓存了个新的，Release 本体却没有更新，还是旧的。整个仓库的同步和缓存竟然不是原子化的，太糟糕了。
It's ALL Nvidia CDN's FAULT. The CDN cached a newer signature Release.gpg but did NOT refresh Release's cache at the same time. I could not imagine that the entire repository is not synchronized and cached atomically. This is too AWFUL.

OLD Release + NEW Release.gpg => BAD signature.

NVIDIA, ~~thank~~ you!

$ gpg --verify Release.gpg Release
gpg: Signature made Thu Jan 28 00:03:08 2021 UTC using RSA key ID 7FA2AF80
gpg: BAD signature from "cudatools <cudatools@nvidia.com>"

$ gpg --verify Release.gpg Release 2>&1 | grep -i made
gpg: Signature made Thu Jan 28 00:03:08 2021 UTC using RSA key ID 7FA2AF80
$ head Release | grep -i date
Date: Tue, 19 Jan 2021 20:03:37 +0000

As shown above, the Release's date is Tue, 19 Jan, but the signature made on Thu Jan 28.

至于说一直再复读的这句话：
As for

This is not an issue for nvidia-docker itself.

All issues related to images running on top of nvidia-docker should be directed here:
https://forums.developer.nvidia.com/c/accelerated-computing/cuda/cuda-setup-and-installation/8

我看到确实有人转去论坛发帖问了，只不过嘛，自始自终一个回复都没有XD。
I found some guys did go to the forum and post this issue there, but they just never recieve any response... XD

OpenHero · 2021-02-01T10:59:18Z

主要是两个地址冲突了,developer.download.nvidia.cn 和developer.download.nvidia.com的地址会被跳转到.cn的地址,这两个地址是不一样的pub,可以把原来的developer.download.nvidia.com都改成developer.download.nvidia.cn

pwyq closed this as completed Jan 22, 2018

flx42 mentioned this issue Jan 22, 2018

CUDA / Docker & GPG error #619

Closed

Qinka mentioned this issue May 3, 2019

invalid: BADSIG F60F4B3D7FA2AF80 cudatools <cudatools@nvidia.com> #969

Closed

vitahlin mentioned this issue Oct 13, 2020

nvidia/cuda:10.0-devel-ubuntu18.04镜像错误 MiniBullLab/easy_docker#12

Closed

tilakrayal mentioned this issue May 5, 2021

installation on ubuntu 18.04 failed, followed official instructions tensorflow/tensorflow#48779

Closed

bc-li mentioned this issue May 20, 2021

Fix invalid: BADSIG F60F4B3D7FA2AF80 error in basic lab 5 microsoft/AI-System#28

Merged

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Invalid signature `BADSIG F60F4B3D7FA2AF80` on Ubuntu 16.04 #613

Invalid signature `BADSIG F60F4B3D7FA2AF80` on Ubuntu 16.04 #613

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Invalid signature BADSIG F60F4B3D7FA2AF80 on Ubuntu 16.04 #613

Invalid signature BADSIG F60F4B3D7FA2AF80 on Ubuntu 16.04 #613

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Invalid signature `BADSIG F60F4B3D7FA2AF80` on Ubuntu 16.04 #613

Invalid signature `BADSIG F60F4B3D7FA2AF80` on Ubuntu 16.04 #613

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