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Diffstat (limited to 'Documentation/transfer-data-leaks.txt')
-rw-r--r-- | Documentation/transfer-data-leaks.txt | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/Documentation/transfer-data-leaks.txt b/Documentation/transfer-data-leaks.txt new file mode 100644 index 0000000000..914bacc39e --- /dev/null +++ b/Documentation/transfer-data-leaks.txt @@ -0,0 +1,30 @@ +SECURITY +-------- +The fetch and push protocols are not designed to prevent one side from +stealing data from the other repository that was not intended to be +shared. If you have private data that you need to protect from a malicious +peer, your best option is to store it in another repository. This applies +to both clients and servers. In particular, namespaces on a server are not +effective for read access control; you should only grant read access to a +namespace to clients that you would trust with read access to the entire +repository. + +The known attack vectors are as follows: + +. The victim sends "have" lines advertising the IDs of objects it has that + are not explicitly intended to be shared but can be used to optimize the + transfer if the peer also has them. The attacker chooses an object ID X + to steal and sends a ref to X, but isn't required to send the content of + X because the victim already has it. Now the victim believes that the + attacker has X, and it sends the content of X back to the attacker + later. (This attack is most straightforward for a client to perform on a + server, by creating a ref to X in the namespace the client has access + to and then fetching it. The most likely way for a server to perform it + on a client is to "merge" X into a public branch and hope that the user + does additional work on this branch and pushes it back to the server + without noticing the merge.) + +. As in #1, the attacker chooses an object ID X to steal. The victim sends + an object Y that the attacker already has, and the attacker falsely + claims to have X and not Y, so the victim sends Y as a delta against X. + The delta reveals regions of X that are similar to Y to the attacker. |