SRC

Privilege level and data access scope determine the severity of a vulnerability.

In the SRC vulnerability mining field, there is a widely used 'universal three-step method for finding vulnerabilities': information gathering, packet capture analysis with parameter tampering to verify vulnerabilities, and validating vulnerabilities and writing reports.

AI-generated vulnerability reports are only first drafts; they must be manually reviewed before final submission, otherwise handing everything over to AI for automatic submission is very likely to result in being blacklisted.

The core application points of AI in penetration testing are rapidly enumerating target assets during the information gathering phase, assisting in understanding principles during the vulnerability analysis phase, and vulnerability validation and report generation.

Most domestic SRC platforms classify vulnerabilities into four levels—critical, high, medium, and low—and at certain leading internet companies, a single critical vulnerability can yield rewards of tens of thousands of yuan, while low-severity vulnerabilities may only receive point rewards of a few dozen to a few hundred yuan.

SRC（安全应急响应中心）是企业设立的漏洞收集平台，企业付费购买未公开的安全漏洞，安全研究者发现并提交后审核通过可获得赏金

The CVSS Common Vulnerability Scoring System classifies vulnerability severity into four levels: low, medium, high, and critical.

Different SRC platforms differ in their vulnerability rating standards, reward ranges, and testing boundaries, and beginners are usually advised to start with the testing scope publicly stated by the vendor.

The SRC ecosystem has a relatively low barrier: no special penetration testing authorization is needed, and as long as you test targets within the testing scope specified by the platform and submit a valid vulnerability, you can get a bounty.

SRC bug hunting is legally authorized testing; the scope of vulnerabilities and testing rules are clearly defined by the platform or vendor, and operations beyond the scope may violate the law.

Submitting AI-generated reports verbatim is very likely to get one blacklisted by the platform, and final decision-making, reproduction, and report submission must be overseen by a human.

Traditional SRC vulnerability hunting can be summarized as a three-step method: information gathering, packet capture analysis and testing, and verification and report writing.

Some platforms have explicit rules restricting automated bulk submissions, and submissions of excessively low quality or in large volumes of duplicates may trigger anti-abuse mechanisms and receive no rewards.

Vulnerability discovery can be performed with zero programming background, because a large amount of testing relies on already mature tools.

All legitimate vulnerability discovery must go through third-party vulnerability platforms, where vendors proactively publish authorization programs and white-hat hackers conduct testing within the authorized scope.

SRC vulnerabilities are typically classified into four levels by severity—critical, high, medium, and low—corresponding to different reward amounts.

在真实SRC或漏洞赏金平台成功挖出并提交通过审核此类漏洞，拿到500元甚至更高赏金属于常态

A file upload function in the back-end combined with a weak password often constitutes a Critical-level vulnerability in the SRC rating system.

SRC is a training-free inference framework that can be deployed without retraining or fine-tuning the model.

Simply suppressing safety heads may risk a decline in safety, so dual-branch logits fusion is needed to balance usability and safety.