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CVE-2024-1544

ECDSA nonce bias caused by truncation

4.1 MediumFix available

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Attack profile

How easy it is to exploit

Attack vector
Local
Complexity
High
Privileges needed
High
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
None
Availability
None

Exploit likelihood

0.35%Up 0.3 points since Aug 28, 2024
90%50%10%1%

What each source reports

CVE List Score used 4.1

ECDSA nonce bias caused by truncation

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
CVE-2024-1544
CVSS 3.1
4.1 MediumCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
Weakness
CWE-203
Updated
2026-11-02
EUVDEUVD-2024-17291 4.1

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
EUVD-2024-17291
CVSS 3.1
4.1 MediumCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
Updated
2026-11-02
GitHub AdvisoriesGHSA-grjj-54gm-q5vf 4.1

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a...

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
GHSA-grjj-54gm-q5vf
CVSS 3.1
4.1 MediumCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
Weakness
CWE-203
Updated
2026-11-02
NVD 4.1

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
CVE-2024-1544
CVSS 3.1
4.1 MediumCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
CVSS 3.1
4.9 MediumCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N
Weakness
CWE-203
Updated
2026-11-02
OSV 4.1

ECDSA nonce bias caused by truncation

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
CVE-2024-1544
CVSS 3.1
4.1 MediumCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
Weakness
CWE-203
Updated
2026-11-02
OSVDEBIAN-CVE-2024-1544 4.9

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
DEBIAN-CVE-2024-1544
CVSS 3.1
4.9 MediumCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N
Updated
2026-11-02
OSVJLSEC-2026-682 4.9

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a...

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
JLSEC-2026-682
CVSS 3.1
4.9 MediumCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N
Updated
2026-11-02
OSVUBUNTU-CVE-2024-1544 4.1

Generating the ECDSA nonce k samples a random number r and then truncates this randomness with a modular reduction mod n where n is the order of the elliptic curve. Meaning k = r mod n. The division used during the reduction estimates a factor q_e by dividing the upper two digits (a digit having e.g. a size of 8 byte) of r by the upper digit of n and then decrements q_e in a loop until it has the correct size. Observing the number of times q_e is decremented through a control-flow revealing side-channel reveals a bias in the most significant bits of k. Depending on the curve this is either a negligible bias or a significant bias large enough to reconstruct k with lattice reduction methods. For SECP160R1, e.g., we find a bias of 15 bits.

Record
UBUNTU-CVE-2024-1544
CVSS 3.1
4.1 MediumCVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/I:N/A:N
CVSS 3.1
4.9 MediumCVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
wolfssl
Debian:12
All versions, plus listed versions
5.5.4-25.5.4-2+deb12u15.5.4-2+deb12u25.5.4-2+deb12u35.5.4-2.1
Show 24 moreShow less
5.6.4-15.6.4-25.6.6-15.6.6-1.15.6.6-1.25.6.6-1.35.6.6-1.3~exp15.7.0-0.15.7.0-0.25.7.0-0.35.7.2-0.15.7.2-0.25.7.2-0.35.7.2-0.45.8.2-15.8.2-1.15.8.2-1.25.8.4-15.9.0-0.15.9.0-0.25.9.1-0.15.9.2-15.9.2-1.15.9.2-1.2
None known
wolfssl
Debian:13
before 5.7.2-0.1
5.7.2-0.1
wolfSSL_jll
Julia
before 5.7.2+0
5.7.2+0
wolfssl
Ubuntu:16.04:LTS
All versions, plus listed versions
3.4.8+dfsg-1
None known
wolfssl
Ubuntu:18.04:LTS
All versions, plus listed versions
3.10.2+dfsg-23.12.0+dfsg-13.12.2+dfsg-13.13.0+dfsg-1
None known
wolfssl
Ubuntu:20.04:LTS
All versions, plus listed versions
4.1.0+dfsg-24.2.0+dfsg-14.2.0+dfsg-24.2.0+dfsg-34.3.0+dfsg-2
None known
wolfssl
Ubuntu:22.04:LTS
All versions, plus listed versions
4.6.0-35.0.0-15.1.1-15.2.0-15.2.0-2
None known
wolfssl
Ubuntu:24.04:LTS
All versions, plus listed versions
5.5.4-25.5.4-2.15.6.4-25.6.6-1.25.6.6-1.35.6.6-1.3build1
None known
wolfssl
Ubuntu:25.10
All versions, plus listed versions
5.7.2-0.1
None known
wolfssl
Ubuntu:26.10
All versions, plus listed versions
5.9.1-0.15.9.2-1
None known
wolfssl
Ubuntu:26.04:LTS
All versions, plus listed versions
5.7.2-0.15.8.2-1.25.8.4-15.9.1-0.1
None known

History

History
RecordedChangedSources
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2024-1544 is a medium vulnerability (CVSS 4.1) in Wolfssl, published August 27, 2024. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.35%, the 28th percentile. Fixed in wolfssl 5.7.2-0.1.

References

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