9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
6.5 Medium
AI Score
Confidence
High
0.001 Low
EPSS
Percentile
37.6%
Affected versions of the nano-id crate incorrectly generated IDs using a reduced character set in the nano_id::base62
and nano_id::base58
functions. Specifically, the base62
function used a character set of 32 symbols instead of the intended 62 symbols, and the base58
function used a character set of 16 symbols instead of the intended 58 symbols. Additionally, the nano_id::gen
macro is also affected when a custom character set that is not a power of 2 in size is specified.
It should be noted that nano_id::base64
is not affected by this vulnerability.
This can result in a significant reduction in entropy, making the generated IDs predictable and vulnerable to brute-force attacks when the IDs are used in security-sensitive contexts such as session tokens or unique identifiers.
The flaws were corrected in commit a9022772b2f1ce38929b5b81eccc670ac9d3ab23 by updating the the nano_id::gen
macro to use all specified characters correctly.
use std::collections::BTreeSet;
fn main() {
test_base58();
test_base62();
}
fn test_base58() {
let mut produced_symbols = BTreeSet::new();
for _ in 0..100_000 {
let id = nano_id::base58::<10>();
for c in id.chars() {
produced_symbols.insert(c);
}
}
println!(
"{} symbols generated from nano_id::base58",
produced_symbols.len()
);
}
fn test_base62() {
let mut produced_symbols = BTreeSet::new();
for _ in 0..100_000 {
let id = nano_id::base62::<10>();
for c in id.chars() {
produced_symbols.insert(c);
}
}
println!(
"{} symbols generated from nano_id::base62",
produced_symbols.len()
);
}
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
6.5 Medium
AI Score
Confidence
High
0.001 Low
EPSS
Percentile
37.6%