3.3 CVE-2026-74870
openssl_encrypt (pip) versions <= 1.4.7 contain an information exposure vulnerability where the 'hsm fido2-test' and 'hsm onlykey-test' diagnostic commands unconditionally print the full derived hardware pepper as hex to stdout/stderr (crypt_cli.py, handle_hsm_command). The printed value can persist in terminal scrollback, session recordings, or CI logs. Impact is limited because the pepper is derived from a random per-invocation test salt and is salt-bound, so the leaked value cannot be used to decrypt real files. A related plugin issue logged raw prf_data outside the secret-redaction path. Fixed in 1.4.8 (and 1.5.0) by removing the hex dumps and routing plugin debug output through the redaction layer.
https://nvd.nist.gov/vuln/detail/CVE-2026-74870
Categories
CWE-532 : Insertion of Sensitive Information into Log File
The product writes sensitive information to a log file. Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.) Consider seriously the sensitivity of the information written into log files. Do not write secrets into the log files. Remove debug log files before deploying the application into production. Protect log files against unauthorized read/write. Adjust configurations appropriately when software is transitioned from a debug state to production. verbose logging stores admin credentials in a world-readable log file SSH password for private key stored in build log
References
AFFECTED (from MITRE)
| Vendor |
Product |
Versions |
| jahlives |
openssl_encrypt |
- < 1.4.8 [affected]
- 1.4.8 [unaffected]
|
| © 2022 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. |
CPE
REMEDIATION
EXPLOITS
Exploit-db.com
| id |
description |
date |
|
| No known exploits |
POC Github
Other Nist (github, ...)
CAPEC
Common Attack Pattern Enumerations and Classifications
| id |
description |
severity |
| 215 |
Fuzzing for application mapping
An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash. [Observe communication and inputs] The fuzzing adversary observes the target system looking for inputs and communications between modules, subsystems, or systems. [Generate fuzzed inputs] Given a fuzzing tool, a target input or protocol, and limits on time, complexity, and input variety, generate a list of inputs to try. Although fuzzing is random, it is not exhaustive. Parameters like length, composition, and how many variations to try are important to get the most cost-effective impact from the fuzzer. [Observe the outcome] Observe the outputs to the inputs fed into the system by fuzzers and see if there are any log or error messages that might provide information to map the application [Craft exploit payloads] An adversary usually needs to modify the fuzzing parameters according to the observed error messages to get the desired sensitive information for the application. To defeat correlation, the adversary may try changing the origin IP addresses or client browser identification strings or start a new session from where they left off in obfuscating the attack. |
Low |
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