How severe is GHSA-9j3m-fr7q-jxfw?

No CVSS score has been assigned to GHSA-9j3m-fr7q-jxfw yet. Review the advisory details and affected package list to assess your exposure.

Which packages are affected by GHSA-9j3m-fr7q-jxfw?

GHSA-9j3m-fr7q-jxfw affects the following packages: github.com/beego/beego (Go), github.com/beego/beego/v2 (Go). Ecosystems affected: Go.

How do I fix GHSA-9j3m-fr7q-jxfw?

No patched version of github.com/beego/beego has shipped for GHSA-9j3m-fr7q-jxfw yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.

How do I detect GHSA-9j3m-fr7q-jxfw in my Go dependencies?

Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/beego/beego. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

How do I mitigate GHSA-9j3m-fr7q-jxfw if there is no patch (or I can't update yet)?

If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

How does O3 Security protect against GHSA-9j3m-fr7q-jxfw?

O3 pinpoints whether GHSA-9j3m-fr7q-jxfw is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Is GHSA-9j3m-fr7q-jxfw actively exploited in the wild?

No public exploit code has been indexed for GHSA-9j3m-fr7q-jxfw yet. This does not mean the vulnerability cannot be exploited — absence of public exploits does not imply safety. Apply the recommended fix and use O3 Security to monitor your exposure.

What is the EPSS score for GHSA-9j3m-fr7q-jxfw?

GHSA-9j3m-fr7q-jxfw has an EPSS (Exploit Prediction Scoring System) score of 0.3%, placing it in the 25th percentile of all CVEs. EPSS is maintained by FIRST.org and estimates the probability that a vulnerability will be exploited in the wild within the next 30 days. This score indicates relatively lower exploitation probability, though the CVSS severity should still guide your patching priority.

When was GHSA-9j3m-fr7q-jxfw published, and has it been updated?

GHSA-9j3m-fr7q-jxfw was published on December 12, 2024 and was last updated on February 4, 2026. Advisory data evolves as severity scores, affected ranges, and exploit intelligence are revised — always check the latest version of the advisory before acting.

GHSA-9j3m-fr7q-jxfw: Beego has Collision Hazards of MD5 in Cach…

EPSS Exploitation Probability

via FIRST.org ↗

0.3%probability of exploitation in next 30 days

Lower Risk25th percentile+0.10%

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

2 pkgs affected

🐹github.com/beego/beego🐹github.com/beego/beego/v2

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.

Description

In the context of using MD5 to generate filenames for cache keys, there are significant collision hazards that need to be considered. MD5, or Message Digest Algorithm 5, is a widely known cryptographic hash function that produces a 128-bit hash value. However, MD5 is no longer considered secure against well-funded opponents due to its vulnerability to collision attacks.

Understanding Collisions

A collision in hashing occurs when two different inputs produce the same hash output. For MD5, this means that it is theoretically possible, and even practical, to find two distinct cache keys that result in the same MD5 hash. This vulnerability has been well-documented and exploited in various security contexts.

Implications for Cache Systems

In a cache system where filenames are derived from the MD5 hash of cache keys, a collision could lead to several critical issues:

Data Integrity Risks: If two different keys collide, they will map to the same filename. This could result in data being overwritten incorrectly, leading to data loss or corruption. Security Vulnerabilities: An attacker could potentially exploit collisions to manipulate cache data. For instance, by crafting a key that collides with another key, an attacker might gain unauthorized access to sensitive cached information or inject malicious data.

Unpredictable Behavior: Collisions can cause the cache system to behave unpredictably, as it may retrieve or store data in unintended files, leading to system instability or incorrect behavior.

Mitigation Strategies

To mitigate these risks, consider the following strategies:

Use a More Secure Hash Function: Replace MD5 with a more secure hash function like SHA-256, which has a significantly lower probability of collisions and is resistant to known attack vectors.

code at:https://github.com/beego/beego/blob/bb72dc27ac3970e51d38ee52fc3dc1465ae25b9d/client/cache/file.go#L126

Affected Packages

2 total 1 fixed

Ecosystem	Package	Vulnerable range	Fix
🐹Go	`github.com/beego/beego`	all versions	No fix
🐹Go	`github.com/beego/beego/v2`	all versions	2.3.4

Detection & mitigation playbook

Open-source dependency

Detect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/beego/beego. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
No patched version of github.com/beego/beego has shipped for GHSA-9j3m-fr7q-jxfw yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-9j3m-fr7q-jxfw is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-9j3m-fr7q-jxfw. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

In the context of using MD5 to generate filenames for cache keys, there are significant collision hazards that need to be considered. MD5, or Message Digest Algorithm 5, is a widely known cryptographic hash function that produces a 128-bit hash value. However, MD5 is no longer considered secure against well-funded opponents due to its vulnerability to collision attacks. ### Understanding Collisions A collision in hashing occurs when two different inputs produce the same hash output. For MD5, this means that it is theoretically possible, and even practical, to find two distinct cache keys that

O3 Security · Impact-Aware SCA

Is GHSA-9j3m-fr7q-jxfw in your dependencies?

O3 detects GHSA-9j3m-fr7q-jxfw across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.

Scan my dependencies How O3 SCA works